[HN Gopher] Show HN: I trained an AI model on 120M+ songs from i...
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Show HN: I trained an AI model on 120M+ songs from iTunes
Hey HN! I just shipped a project I've been working on called
Maroofy: https://maroofy.com You can search for any song, and
it'll use the song's audio to find other similar-sounding music.
Demo: https://twitter.com/subby_tech/status/1621293770779287554
How does it work? I've indexed ~120M+ songs from the iTunes
catalog with a custom AI audio model that I built for understanding
music. My model analyzes raw music audio as input and produces
embedding vectors as output. I then store the embedding vectors
for all songs into a vector database, and use semantic search to
find similar music! Here are some examples you can try: Fetish
(Selena Gomez feat. Gucci Mane) --
https://maroofy.com/songs/1563859943 The Medallion Calls (Pirates
of the Caribbean) -- https://maroofy.com/songs/1440649752 Hope you
like it, and would love to hear any questions/feedback/comments! :D
Author : subtech
Score : 686 points
Date : 2023-02-03 00:20 UTC (22 hours ago)
(HTM) web link (maroofy.com)
(TXT) w3m dump (maroofy.com)
| alexmolas wrote:
| How did you extract the embeddings from the songs? Did you use a
| pre-trained model? Or have you trained you own model (using
| autoencoders or something similar)?
| subtech wrote:
| I had to train my own model :)
| yborg wrote:
| Laughably bad for "Here's Where The Story Ends" by The Sundays, I
| can't even begin to see how some of these recommendations relate.
| Did discover that Finnish rockabilly is a thing, though.
| youssefabdelm wrote:
| If you could somehow filter the beginner bedroom producers the
| results might be even more compelling...but great job so far!
| mattfrommars wrote:
| What part of AI is this? Is it something related to how Shazam
| worked, as per their White paper. The idea is to create a visual
| image of the song, it's representation and run a model to
| identify things similar to it.
|
| Is this AI or machine learning?
| vintermann wrote:
| I entered "Spiro - The Vapourer", a brilliant dance music
| inspired instrumental folk piece with intense, layered melodies.
|
| It recommended "Buzz Cazon - Sentimental Attitude".
|
| I have trouble putting into words how bad that recommendation
| was. Seriously, just compare those two pieces, do they have
| ANYTHING in common besides maybe vaguely the tempo?
| vintermann wrote:
| OK, but I'll concede it does SOMETHING pretty wild. Just not
| necessarily something good for recommendations.
|
| Because I tried another song: "Sam Sweeney - The King of
| Prussia's March", and the second recommendation was "Polsk Nr.
| 48" by Rasmus Storm.
|
| The wild thing? Well, first of all, Rasmus Storm isn't strictly
| speaking the artist. He was the composer. He was a 17th century
| Danish fiddler, who - rarely for his time and social standing -
| knew music notation, and wrote down his tunes in a book.
|
| The crazy thing is that in that same book, "Murchy nr. 14" is
| the tune better known in England as "The King of Prussia's
| March"!
|
| The odds of that happening by chance has to be absolutely tiny.
| "Obscure" doesn't even begin to describe it when it comes to
| Rasmus Storm's notebook.
| cousin_it wrote:
| Wait, you really don't hear the similarity? To me the two
| pieces sound uncanny close. The tempo sure, but also the rhythm
| guitar does almost the same thing, and the higher pitched
| instruments in both have similar timbre and do similar things.
| You could probably mix the two pieces together and it'd sound
| alright.
|
| This happened to me before, I'd point out that for example
| Reckoning Song and Counting Stars are the same song, but people
| would swear they have nothing in common. Or Sail vs Believer,
| why was the second one even made. Is it that people focus
| mostly on the manner/vibe of a song, and don't notice what it
| actually sounds like?
| vintermann wrote:
| I think maybe you can argue that from the 30 second excerpt
| from the middle of the song (which I guess the model is
| trained on). The Vapourer briefly drops into the "Arches"
| theme there, an original tune from one of Spiro's earlier
| albums which is one of the overlapping tunes in the piece.
| But I still don't think the similarity is great!
| poutrathor wrote:
| https://maroofy.com/songs/724345280 That's just the same song
| always 6 times in a row. you probably already know, one would
| prefer to have removed versions of the same song by the same
| artist at the very least.
| subtech wrote:
| I just wanted to quickly THANK EVERYONE for taking the time to
| check this project out and give your feedback!
|
| I honestly didn't expect this project to get this much traffic --
| I really can't express my emotions via text rn lol.
|
| I'm working on an improved AI model that should address a lot of
| the shortcomings of the current one, along with a lot of other
| features people have mentioned (playlists, deduplicating results,
| volume control, better search UX, etc.).
|
| Got a lot of updates coming, time to ship! :D
| LunarAurora wrote:
| You should add an option to donate.
| bmlzootown wrote:
| Volume control is a must. I had my headphones on, at normal
| volume, and... let's just say I didn't realize just how loud it
| would be.
|
| Other than that, however, this seems neat. I've been trying to
| listen to new music lately, so this'll definitely come in
| handy.
| gattis wrote:
| It's quite good. Tried a couple house/electro/ebm tracks and it
| gave a good mix of stuff you'd expect and novel stuff you
| wouldn't. It finds a lot of songs that sample a given song, for
| obvious reasons. Glad someone gave this a go without any
| collaborative filtering or user ratings, just digging through
| waveforms alone.
| kingkawn wrote:
| My roofy?
| RERER666 wrote:
| [dead]
| toomanyrichies wrote:
| I'm teaching myself deep learning at the moment, and learning
| about embedding vectors was the first "holy shit!" moment I had.
|
| To me, it's fascinating that not only can you:
|
| -represent things like words as vectors,
|
| -map them in a multi-dimensional space, and
|
| -use that space to find the "closest" neighbors (i.e. the most
| similar words)...
|
| ...but you can actually perform "mathematical" operations on
| them.
|
| The canonical example is that, if you represent "king", "queen",
| "man", and "woman" as vectors in your embedding space, then you
| can ask your model "What is king - man + woman?" and (provided
| it's trained appropriately) it will return "queen".
|
| I look forward to the day when we can ask something like "What is
| 'Bohemian Rhapsody' - 'Queen' + 'Velvet Underground'?". Which, if
| OP's model were to be trained on whole songs instead of previews,
| would probably be a reality!
| peepee1982 wrote:
| Fun. I entered one of my own songs and the fifth result was "Love
| will tear us apart" by performed live by New Order.
| LunarAurora wrote:
| "similar-sounding music" is indeed a good way to put it. 120
| millions ! This is awesome! Reminds me of https://cyanite.ai/
| (Search by audio). I will have to give it more time, but so far,
| I like your results better. Well done!
| kugutsumen wrote:
| I wish it worked the results are horrible!!!
| Knucklebones wrote:
| This is amazing. I actually really like that it gives you songs
| across completely different genres and moods (while keeping the
| beat). One piece of feedback - it'd be nice if the search box
| didn't clear if you click out of it to e.g. look at another tab
| while it loads.
|
| If you ever write a blog post about the process of making this,
| I'd love to read it.
| RERER666 wrote:
| [dead]
| omnibrain wrote:
| It's a great idea and I like it a lot. Especially the execution.
| It loads nearly instantly and has everything I want there.
|
| But of course I tried it with 2 very difficult songs I never
| could find anything like it: Desert Rose by Sting and Zoolook by
| Jarre. For Desert Rose it found some similarish things (but of
| course failed to capture the essence, what makes Desert Rose so
| unique) but for Zoolook it completely fell apart.
| DrNosferatu wrote:
| - How about an aggregate function and year/decade result filters?
|
| Say, to figure out what are The Pixies ('measured') musical
| references (y)
| JasonFruit wrote:
| I'm sure this has a lot of value, and it's cool to see. I
| immediately am interested! One thing came up in the first search
| that's frequently overlooked in music, though: unless the prompt
| is Christmas music, the response should probably not be Christmas
| music.
| superasn wrote:
| Nice idea. Not sure how good the recommendations are just yet,
| but I really wish there was a Spotify button on there.
|
| Also if it's not a trade secret can you expand "My model analyzes
| raw music audio as input and produces embedding vectors as
| output." What kind of analysis are you doing? What is the
| criteria for picking recommendations? I always find this area of
| music analysis intersting.
| shusaku wrote:
| Great work, this is very fun! Alas, I tried "Werewolves of
| London" and it didn't spit out "Sweet Home Alabama", so it still
| has room to grow
| tippysdemise wrote:
| Well done!
|
| A comment: for classical music, it would be necessary to see the
| name of the composer. Currently, it's only the performing artist
| that's displayed in the interface.
| rcme wrote:
| The results do sound very similar, which is interesting from a
| philosophical point of view: after searching all my favorite
| songs, I liked not one similar sounding result. What makes one
| enjoy art vs. not? There's clearly more to it than how something
| "sounds."
| kennyloginz wrote:
| This is great! So handy for the dj! Please keep up the good work,
| very appreciated!
| nightkall wrote:
| Fantastic tool, thanks for making it!
|
| As others said, it would be a nice option to export it as a
| playlist for Spotify/Apple/Youtube or a .txt file with "Artist -
| Track name" in each line. Then you can import the txt file into a
| playlist converter tool like www.tunemymusic.com and play it in
| your favorite music service. Mine is discoverquickly.com where
| you can listen Spotify playlists fast with mouseover, and
| discover related songs/artists.
|
| An autoplay x seconds of every track, where you can choose the
| number of seconds, would be a nice addition too. This way you can
| discover music while doing other things.
| subtech wrote:
| Playlist + some sort of auto-playing mechanic is coming!
| bloodyplonker22 wrote:
| I clicked one of the "recommended" songs on the front page, Du
| Hast - Rammstein. I got this:
|
| Rhythm Is Gonna Get You Gloria Estefan
| jb3689 wrote:
| Fun, but unfortunately it is pretty off for me compared to
| Spotify and Apple Music. I wouldn't listen to any of the recs
| personally. I do appreciate how out there the recommendations are
| though! They're just amateurish for my tastes.
| llagerlof wrote:
| Beautiful. Definetely could replace spotify "recommended" for me.
|
| Please, add some filters:
|
| - By language
|
| - By year (between, above, below)
|
| - By fame (so the user can filter out famous musics or unknown
| ones)
|
| Thank you!
| subtech wrote:
| Yup, working on it!
| pbhjpbhj wrote:
| They'll either be sued into the ground or bought out for a multi-
| million figure by the Summer!
|
| Good luck!
| lanza wrote:
| Neat, but I'm convinced after giving it a try that this is
| absolutely not the way to do music recommendation. The
| recommendations were complete misses for me.
| gticala wrote:
| I find the list of similar songs to be bang on for a couple of
| songs I queried for. Great job!
| nuker wrote:
| Loading ... Beef it up before posting on HN?
| subtech wrote:
| sorry mate, 100% didn't expect this much HN traffic.
| sitkack wrote:
| It chokes if you have any adblocker or anti-tracking.
| sitkack wrote:
| And search only works in Chrome.
| no_butterscotch wrote:
| It chokes on everything: Brave or Chrome, incognito with
| Brave Shield disabled or uBlock disabled also don't work,
| same with Safari, ...
|
| I'm glad it includes the examples at the bottom so I can see
| what it does though.
| sitkack wrote:
| I was _only_ able to get search to work on Chrome in
| incognito on a mac.
|
| It basically overfits on the similarity, which is kinda
| neat in a way. It could be extremely useful in scoring
| video, you want something "like" this song, it gives you
| lots of things to choose from. Or if I wanted to make a set
| list on a theme.
| gticala wrote:
| I found the recommended songs to be bang on similar to the ones I
| queried. Great job!
| gpjanik wrote:
| The similarities between songs are quite literal (e.g. songs are
| similar in some technical sense), but their mood, cultural
| meaning, etc., is completely different. I got some pretty festive
| pop as recommendations for similar songs to Enjoy the Silence
| from Depeche Mode - but the chord progressions and amount of
| syllables in choirs were similar. No idea how this works and
| whether that's by chance or on purpose.
| phendrenad2 wrote:
| Very cool, the results look great. Looking forward to throwing
| random songs in here going forward.
| dcl wrote:
| Would love to know more about how you produced the embeddings!
| tanelpoder wrote:
| Curious, did you just get the album/song lists from iTunes and
| get the corresponding raw music audio from other sources or does
| iTunes really allow one user account to download the raw audio of
| 120M songs?
| tastysandwich wrote:
| Personally for me the best way of finding new music is friends
| whose opinions I trust. I find going by similarity will pull up a
| lot of derivative artists that suck (eg Last.Fm/Pandora). I want
| something good, and if it's radically different, even better!
|
| One awesome use-case I can see for this though is finding
| alternatives to copyrighted songs. Let's say you make a sports
| video, and you have this fantastic song in your head, but you
| can't secure permission. It would be cool if this could find
| something similar to that song. Same style, tempo, etc. Even
| better if it's royalty free.
| foysauce wrote:
| I believe a very similar use case was the original primary
| function of Richard's compression algorithm in the show Silicon
| Valley. Which of course was entirely underutilizing the
| technology but that was the joke.
| gaske-p wrote:
| Are you taking bug reports here? This song seems to get no
| recommendations:
|
| https://maroofy.com/songs/1634824510
|
| Server error is:
|
| Unexpected token < in JSON at position 0
| mxkopy wrote:
| O.o you beat me to it I was thinking of building something
| similar
|
| I don't think I could've done the UI as clean, though, very nice!
|
| I hope the mainstream platforms start implementing stuff like
| this soon
| subtech wrote:
| Thanks! :D
|
| I personally think I need to improve the UI a lot, but maybe
| that's because I've spent way too many hours staring at it
| lmao.
| xnx wrote:
| How did you download that many songs? Wouldn't that be something
| on the order of 360 terabytes?
| youssefabdelm wrote:
| Also curious about this... where did you get the dataset?
| LunarAurora wrote:
| I guess he is working with the 30s low rez previews, I know you
| can download them with the Spotify API. Apple Music should be
| similar.
| ComplexSystems wrote:
| Wouldn't this still be about 36 terabytes of data?
| charcircuit wrote:
| You would only need to store the embeddings and not the
| file audio itself.
| winrid wrote:
| Meh, you can store that on a single d3en.2xlarge for $780.
| losteric wrote:
| How did you get the 120MM songs?
| ranting-moth wrote:
| Brilliant. Would be nice also to see what's playing. When I've
| scrolled and clicked a lot of songs and realize I like it, I have
| no idea what I clicked!
| Quarrelsome wrote:
| genuinely stoked it found a track that sounds like Cicatraz ESP
| by Mars Volta in Addiction by Tripp Berlin (which is new to me,
| so thanks for that!) but as others have said in other cases it
| fails to understand the pull of a given song but you can always
| understand why it recommended a given track.
|
| One outcome I found interesting is that I gave it Ante Bijou Up
| but it didn't find any of the original versions of Ante Up based
| off of it and its first recommendation was some hideous pop song.
|
| However, based off the success of the Cicatraz ESP recommendation
| I am a massive fan of your work! <3
| raffraffraff wrote:
| Seems to work well on some stuff, not on others. I get that AI is
| able to correlate things that we can't really detect because we
| don't experience music as a raw waveform. But the emotion and
| sentiment in the vocals regardless of music genre is something
| that can link sings together in a playlist, and I don't see how
| this could do the same unless it's also considering mood tags (if
| you can get access to decent quality tags) and lyrics.
| adamsmith143 wrote:
| It's almost too good in that it finds a lot of song remixes which
| I don't necessarily want. So it's clearly targeting the right
| things in songs but I don't necessarily want to have a remixes.
| Might think of a way to adjust for that?
| neilk wrote:
| Quite impressive given you're working with tiny snippets of
| songs. Kudos.
|
| This is so interesting out of the gate that criticisms seem
| rather foolish. But I'll just say what I tried.
|
| I tried pop songs, jazz tunes, and even rather strange, unique
| recordings like "One Step Beyond" by Madness. And every time I
| got something with similar aspects.
|
| I also like that all cultures were represented.
|
| Would I use this to find music? Maybe? It kind of underscores
| that we don't always listen just for a particular sound, but for
| what that artist represents to us. I may really like a band and
| absolutely hate a band that's pretty much a copy of them (maybe
| done a few decades later) precisely because they are too much a
| copy.
|
| I don't think I could build playlists (in this current offering)
| because the songs are _too_ similar. Maybe if I want an exercise
| playlist with a particular bpm and vibe?
|
| I think if I were looking for music for TV or advertising this
| would be an absolute winner. If I feel like I want a song like
| Daft Punk here, but I can't afford to license it, I can use your
| tool to find a lot of tracks with similar vibes that I can afford
| or that I haven't heard of.
| amatecha wrote:
| Super sick, thanks for sharing this. I found some really
| interesting songs and artists to check out later. It's very time-
| consuming to listen through all the "matches" as many of them are
| not close to what made the "source" track appealing to me, but
| that's difficult to quantify for each song. Still, tons of stuff
| bookmarked and added to my Bandcamp wishlist :)
| huhtenberg wrote:
| Search doesn't work in a recent Firefox on Windows - typing
| anything in the search box shows the "Loading..." dropout below
| it and then nothing happens. This generates no network activity
| and the console shows: Cross-Origin Request
| Blocked: The Same Origin Policy disallows reading the remote
| resource at https://cdn.segment.com/v1/projects/F4GFNelOpRsgUJc6i
| wTuiXr2t6AH5LCY/settings. (Reason: CORS request did not
| succeed). Status code: (null). NetworkError when
| attempting to fetch resource --
| _app-f73fb5ecceb5fc1e.js:1:82295
|
| PS. It looks like your code has some hard dependency on
| segment.com and/or panelbear.com tracking services. These are
| blocked by default by uBlock. Turning uBlock off seems to resolve
| the issue.
| addandsubtract wrote:
| Weird, I'm using Firefox with uBO and it's working fine.
| Toutouxc wrote:
| Getting the same error on macOS, both Safari and Firefox.
| MrGilbert wrote:
| Same goes for Vivaldi... I thought it might have received the
| famous "hn-hug-of-death".
|
| //Edit: Just read the edit regarding ublock origin. So this
| website definitely needs a Privacy Policy then.
| iopq wrote:
| Turned off uBlock, still the same issue
| SketchySeaBeast wrote:
| I've tried in both Firefox and Chrome and getting the same
| issue. I assume settings holds that magic that makes the
| network requests because right now none are being made.
|
| Edit: Turned off privacy badger and then it started making
| requests on Firefox.
| giancarlostoro wrote:
| Interesting, I tried a few songs and artist combinations:
|
| I picked a Three 6 Mafia song I used to listen to in my younger
| years, the particular song I chose has everything in the
| soundtrack from high hats, to trumpets, several rappers with
| varying styles of exerting their voices, and a lot of the
| resultant songs have either high hats or similar sounding
| trumpets, or similar sounding drums, and in other cases,
| something about how the artists rap reminds me slightly of Three
| 6 Mafia's own style. I don't recognize any of the artists
| suggested, which is a good thing, it basically did what it was
| supposed to.
|
| Next I picked a song by Bullet For My Valentine, not all the
| songs are quite nu-metal but that's because the song I chose
| isn't typical nu-metal (or whatever genre they were...) unlike
| some other metal bands they dont spend the whole song screaming,
| they actually do normal singing, so it picked up what to me sound
| like old school metal bands like Dio, Iron Maiden and so on... So
| it picks up on how some parts of the song are, which can get you
| mixed results, so if you want to find a similar artist down to
| the musical style, pick the most "metal" song you can find by
| them. This isn't an issue for me since I like some of those
| artists too, but I would rather get more bands that are more like
| Bullet For My Valentine, though it seemingly did catch one or two
| I had not heard of before.
|
| Also tried another metal band Killswitch Engage with the song "My
| Curse" and it recommended another Killswitch Engage song titled
| "For You" which honestly, is weirdly close in style and I never
| noticed that before. Again this one's another metal band, I just
| wanted to see how it would do.
|
| Lastly, I tried a Spanish reggaeton song, and I was not
| disappointed. You really did a hell of a job on this.
|
| My only wish is that Apple would hire you / buy out your efforts
| because I wish this was part of Apple Music, their "suggested
| music" is awful, and the genre discovery type of thing doesn't
| always yield artists I remotely care for, I feel more inclined to
| listen to some of the suggested songs but it sucks you can only
| give samples and link to the song directly, if you could generate
| playlists from the results it would be good, this isn't a you
| issue, its moreso an Apple limitation.
| AlecSchueler wrote:
| This is actually great, one of the most promising recommendation
| algorithms I've come across.
|
| I love that it's working by sound. So often eg Spotify will
| insist I check out other bands in the same "scene" or from the
| same era as other artists I like, and in genres as broad as "70s
| rock" it can be really tiring.
|
| One of the first tracks I tried was Natural Woman by Carole King.
| I love that it recommended other slow but rhythmic piano vamps
| with tender vocals by artists singing in other languages, some
| modern, some old, as well as some sung by men. It even
| recommended me more Carole King which is I guess shows it's
| picking up on something constant in her music.
|
| What impressed me was that it recommended quite a lot of numbers
| in the same key! It was funny clicking through them and the tonal
| centre being unchanged. It was like they really were different
| but the same.
|
| It definitely doesn't understand everything about tonality
| though! I tried some atonal music next, Naama for solo
| harpsichord by Iannis Xenakis, expecting to get more atonality
| back. Nope, first result was very firmly tonal: "Suite in E flat
| major" by Bach for solo harpsichord. It definitely got some
| essential aspects of the pieces down but completely missed the
| central concepts underpinning their musicality.
|
| Very promising like I say, can't wait to try more things out!
| agentwiggles wrote:
| I'm enjoying it a lot too, I've always been a bit frustrated by
| what you describe with Spotify. It's like it's keying more on
| genre than sound, which has both pros and cons, but ends up
| giving me a lot of music that is nominally in the same genre
| but missing the qualities I like about a certain song.
|
| Probably my favorite song of all time is Close to the Edge, by
| Yes. Spotify will happily provide me with tons of
| recommendations for 70s prog - much of which I love too, but
| some of it leaves me cold.
|
| Maroofy came up with "Good Day" by Leigh Ashford, a song I had
| never heard of. It's very interesting to compare it to CttE -
| it's not a very similar song in most respects, but has a
| similarly prominent bouncy bassline. I like the song, and I
| don't think I'd have found it via spotify or any of my other
| usual music discovery sources.
|
| Overall this is very cool, great project.
| subtech wrote:
| Thank you so much! With an improved model, things should get
| a lot better! :D
| mmahemoff wrote:
| Exciting to see AI used this way. My main feedback is I'd look at
| incorporating other factors to rank results, not _purely_ how
| similar it sounds. Audiophiles might prefer a pure similarity
| ranking, but that could be offered as a non-default setting if
| anything.
|
| e.g. I'm sometimes seeing several essentially identical tracks at
| the top of recommendations (also mentioned in a comment by
| rayshan). You probably want to penalise tracks like that so
| they're pushed well down the list, i.e. penalise matches by
| metadata similarity (artist, title, etc).
|
| OTOH I think it should boost results from more popular
| songs/artists, so the top result is less likely to be an obscure
| result that happens to sound similar. Some might argue it's a
| good thing to discover/highlight obscure artists, but for most
| users, it's more practical to recommend results that are already
| "proven" to be appealing. More obscure results could still be
| blended in if highlighting them is seen as a goal of the project.
| emodendroket wrote:
| If the point was to surface popular recommendations why would I
| go to a different Web site instead of just using what Apple
| Music already gives me? It has to do something different to be
| interesting.
| mmahemoff wrote:
| Not everyone is using Apple Music (or its competition).
|
| Even for those who are using a music platform, this project
| still has its unique algorithm that's likely to surface
| distinct results. Partly because the developer can do their
| own innovation and partly because the platforms influence the
| algorithm in ways that aren't necessarily aligned with users'
| interests. e.g. promoting artists they have favorable
| relationships with.
|
| The developer can also offer features that Apple et al aren't
| offering, perhaps because it would complicate their app too
| much or isn't high priority, but makes sense for a
| specialized tool like this. e.g. fine grained settings to
| filter and sort results.
| emodendroket wrote:
| No, but the tool already features heavy integration with
| Apple Music, so I assumed that was the target demographic.
| knaik94 wrote:
| I think popularity based ranking should absolutely be optional
| and a toggle. I think it's reasonable to have default rank be
| popularity, but in my opinion, the value of a model like this
| is finding obscure tracks. I also would definitely like seeing
| an exposed toggle, and maybe automatically toggle it off when
| someone presses refresh?
| mmahemoff wrote:
| Sure, a toggle is one option. The main point is to introduce
| popularity as a factor and ultimately the best UI and
| defaults are best decided through A-B testing.
|
| I'd also add that it's usually a good idea to incorporate
| this setting into the URL, regardless of the UI, so that a
| specific order can be bookmarked and shared.
| youssefabdelm wrote:
| What model/architecture did you use? Also curious about the
| process with that. Did you use an off the shelf model (like
| Jukebox) to embed the tracks?
| silisili wrote:
| I love the idea, but the results were far off the mark. Perhaps
| they should be weighted according to some vectors, including
| language.
|
| I chose 'Let it be me' by the Everly Brothers. 8 or so of the top
| 10 were foreign songs, and sounded much older even.
| subtech wrote:
| Thanks for your feedback!! Yup, model can definitely be
| improved (and perhaps I should also add a language filter)!
| Noted! :)
| s390qdio wrote:
| Reminds of last.fm and their scrobbler.
| IYasha wrote:
| Umm... is it just me or there's no "Search" button? Linux,
| Firefocks 50.1.
| subtech wrote:
| I definitely have to improve the UI, but for now, as you type
| in a song in the search bar, it should load some auto-complete
| suggestions that you can choose from.
| [deleted]
| Semaphor wrote:
| I think I either found some kind of bug or Apple Music is really
| weird.
|
| The similar songs for Anaal Nathrakh - Endarkenment [0] have
| Annal Nathrakh with endakenmento at the top. So a misspelling of
| the band, and apparently (according to google translate) a
| Japanese transliteration of the song title (Endakenmento,
| enderkenment). The song itself is literally the same one, others
| listed are their other songs, or more Japanese transliterations
| of their songs. The weird versions can be played, but the linked
| page does not exist on Apple Music [1]
|
| [0]: https://maroofy.com/songs/1522388463
|
| [1]:
| https://music.apple.com/album/%E3%82%A8%E3%83%B3%E3%83%80%E3...
| subtech wrote:
| Ya Apple Music can have some interesting duplicates in their
| catalog lol :/
| twalichiewicz wrote:
| Nice work on this! As people have commented already, seems to
| provide more "very similar sounding sounds" versus
| recommendations.
|
| I tried Glass Animals - Heat Waves, and after clicking through
| the recommended songs it's eerie how similar they sound to each
| other. As I would let the preview play and start the next song I
| sometimes thought my click didn't register because of just how
| similar one song would be to the last
| (https://maroofy.com/songs/1508562516 for those who want to see
| for themselves).
| winrid wrote:
| How did you scrape the audio of 120M songs? That sounds
| expensive?
| gigel82 wrote:
| Probably just used the previews (makes sense, songs tend to
| keep their rhythm throughout).
| winrid wrote:
| Lots of industrial metal has a drawn out start before the
| actual song lol
| kristiandupont wrote:
| Previews don't start at 0:00 but at a place selected by the
| artist give the best quick impression possible. Of course,
| I don't know what they've done with the "old" catalog.
| cactusplant7374 wrote:
| Also curious about this... It seems impossible.
| sometimeshuman wrote:
| I wonder this too. I tried scraping iOS App reviews from
| Apple's server and I didn't get far before my IP was blocked.
| shog_hn wrote:
| It doesn't appear to work in Firefox. Looks like CORS is blocking
| a call to segment.
| iopq wrote:
| Same issue in Firefox
| muzani wrote:
| It seems to be finding snippets of songs similar to snippets. I
| tried on Metallica - Unforgiven III, which starts off with a slow
| piano composition, and then enters a riff and cuts out.
|
| It ends up recommending piano songs, many Korean ones.
|
| There's some interesting ones like Ghost - Cirice, where it finds
| other songs with similar riffs. I like Ghost's music in general,
| just not the Satanic themes, so this is a great tool for finding
| similar music.
|
| I'm somewhat amused that it doesn't match Under Pressure with Ice
| Ice Baby.
| yayr wrote:
| good point, probably a final version should have a pipeline
| like 1. cluster song segments into styles and 2. search for
| each cluster or only the main cluster.
|
| What would be a good NN architecture for the first step?
| jodacola wrote:
| Something I've dreamed about but haven't found: a
| tool/service/etc. that can take my tastes from an era, say my
| eclectic early 2000s mix of jazz, electronic, and tango, and find
| me a similar set of music I might be interested in from the 2020s
| or the 1990s. I would love to explore my own taste in music in
| different eras. Interesting work. Reminded me of my little dream.
| paxys wrote:
| Solid work, but this only reinforces my belief that music
| recommendations is an area that is not (yet) cracked by AI. You
| can find similar songs with great accuracy, sure, but even if two
| songs are close to each other by all calculable metrics they can
| still vary drastically in subjective quality.
|
| And a quick suggestion - all my top results when searching for
| popular songs were songs that were either different versions of
| it or those that had heavily sampled the original. While the
| algorithm is spot on, that isn't exactly what I am looking for.
| Maybe have a filter to exclude results that are too close a
| match?
| popinman322 wrote:
| Have you tried Gnoosic[0] yet? It's a more standard recommender
| system, I think. Some of the recommendations are really on
| point.
|
| [0]: https://www.gnoosic.com/
| brutus1213 wrote:
| How did you get the samples for the song? iTunes allows scraping?
|
| Your project is extremely motivational .. how long did it take
| you? What did you train on? I do DL for work and just play with
| things like cifar. This is so inspired.
| nanidin wrote:
| Apple Music subscription is $12/month and it allows full
| downloads of songs.
| helsinkiandrew wrote:
| Hmmm. I would have thought that Apple would detect and block
| you if you try to download their entire catalog without some
| kind of permission. If they're the same size as the files in
| my Apple Music it would take in the order of a petabyte to
| store (compression would obviously reduce that).
|
| 120M songs would take approximately 1000 years to listen to
| in normal time and is way beyond normal usage.
| netrus wrote:
| ... but certainly not ALL songs? I would think they notice if
| you download more then one minute of audio per minute over a
| long time.
| piyush_soni wrote:
| But aren't they DRMed? Or does it let you download in mp3 or
| related formats directly (I'm not on Apple music)?
| manv1 wrote:
| Analog hole.
| s3p wrote:
| You're correct, it's DRM only
| albertTJames wrote:
| most relevant
| noja wrote:
| Playlist button please!
| subtech wrote:
| So many people have asked me the same thing lol. Shipping soon!
| chx wrote:
| Thank you. This is really great. Of course not everything is a
| hit but it did find some beautiful tunes for me.
|
| One little problem: if you press play and wander off after it
| stopped playing it can be rather hard to find what you played.
| subtech wrote:
| Thanks a lot for your feedback! You're right, I should probably
| add a better song player UI element.
|
| Also, as I improve the model & add user accounts,
| recommendations should hopefully get much better and more
| personalized!
| practice9 wrote:
| Could you please also add a "Compare" tab? So we can select two
| or more songs and see how similar they are?
| emperorcj wrote:
| Needs an auto playlist generator! :) I would FUCKING KILL for
| that
| qikInNdOutReply wrote:
| Can it do endless mashups?
| subtech wrote:
| I think I can technically use the underlying model to do it,
| but never really tried it. Interesting...
| rlt wrote:
| This looks great.
|
| Does anything similar exist that lists possible genres for a
| given track?
|
| I'm a big fan of things like Ishkur's Guide to Electronic Music
| and everynoise.com. It would be cool to be able to list out the
| genre(s) and show similar tracks.
| freetime2 wrote:
| I searched for "Poinciana" by Keith Jarrett[1] (one of my all-
| time favorites).
|
| The top three responses were "La Raya" by Los Islenos [2], "Days
| of Our Love" by Deepa Dremata [3], and "Flying Home" by Michelle
| Mack [4].
|
| While I didn't hate any of them, and they all featured a piano, I
| wouldn't say any of them sound like Keith Jarrett, either.
|
| [1]
| https://music.apple.com/us/album/poinciana/1446740946?i=1446...
|
| [2] https://music.apple.com/us/album/la-raya-feat-ben-
| murphy/154...
|
| [3] https://music.apple.com/us/album/days-of-our-
| love/1608767255...
|
| [4] https://music.apple.com/us/album/flying-
| home/1577716851?i=15...
| anentropic wrote:
| I had similar experience
|
| it doesn't seem to understand anything about the style of the
| music
|
| seems to find stuff which is sonically similar rather than
| musically similar, and even then I'm being generous
|
| no useful recommendations
| hui-zheng wrote:
| I tried it, I think the vibe match looks great, but the match
| lacks the culture context. It would be great to use song's meta
| data and lyrics to to improve that
| paulproteus wrote:
| https://maroofy.com/songs/1651341589 is one of my favorite songs,
| but it says, "Hmm, something went wrong," and shows no similar
| songs.
|
| When I was a teenager, I thought no band was as cool as Rainer
| Maria.
|
| Does this mean I was right?
|
| :D
|
| Nice app! I tried it for another fave
| https://maroofy.com/songs/1578598760 and will give those a
| listen.
| ecmascript wrote:
| Seems cool and I understand you're getting hugged to death by HN
| right now but I could not use it because the search was too slow
| and as soon as I change focus to another window for example, it
| removes whatever I wrote in the search bar so unfortunately
| completely useless due to this bug.
| subtech wrote:
| my bad, that can be annoying. will ship an update for this!
| andrewmcwatters wrote:
| Tried Erreur 404 by L'Imperatrice[1], and I noticed the beat of
| the other recommended songs were eerily similar!! I'd argue your
| project is actually _too_ good.
|
| Where Spotify's Discover Weekly tried to connect you to music
| other people listen to {B, C, D, ...} because you've listened to
| a particular song {A} {B...->A}, your model quite literally tried
| to find other music {A2} that sounds like what you're looking for
| {A1} {A2->A1}.
|
| Edit: OK, some of these are actually pretty dope...
|
| [1]: https://maroofy.com/songs/1458902217
| japanman425 wrote:
| ... what?
| wayeq wrote:
| {W1} {H2->A1}*T?
| japanman425 wrote:
| My thoughts exactly.
|
| r/iamverysmart vibes... someone who has watched one Lex
| whatever his name was video on the maths of neural
| networks...
| amelius wrote:
| Probably just BS by GPT3.
| andrewmcwatters wrote:
| Could you not shitpost like the parent, please?
| popinman322 wrote:
| IIUC: Spotify seems to use something similar to collaborative
| filtering. People rate songs based on more than similarity,
| which is what this model seems to provide.
| phist_mcgee wrote:
| >IIUC
|
| What?
| popinman322 wrote:
| IIUC -> If I understand correctly
| bobsil1 wrote:
| This approach is better for remix beat-matching than as new
| song recs, IMO.
| registeredcorn wrote:
| The search feature is great from what I can tell!
|
| I tried an obscure(?) Japanese rock band "9 Ball" and they were
| extremely high on the search results. I can't even _find_ the
| album by using Apple Music.
|
| Searching for 9 Ball in Maroofy shows them in spots 2-6, easily:
| https://maroofy.com/songs/185487468
|
| When I try to search for the same band in Apple Music, I get this
| jumbled mess of results:
| https://music.apple.com/us/search?term=9%20ball
|
| Even searching for a specific song of the band, the correct
| artist is 5th on the list:
| https://music.apple.com/us/search?term=9%20ball%2024%20hours
| _and_ doesn 't even link to any of their songs:
| https://music.apple.com/us/artist/9-ball/28599994
|
| I literally cannot use Apple Music search to get to the page to
| buy Sound Seeds by 9 Ball, without going through Maroofy first. I
| had thought Apple removed that album years ago due to some kind
| of licensing issue. Strangley enough, even though there is an
| option to "Buy for $7.99" clicking on the button in Apple Music
| doesn't seem to initate any kind of prompt. Maybe this is old
| data, but the previews are still available? Who knows. Either
| way, the search _for_ that information was excellent.
| ojo-rojo wrote:
| I've never commented on HN before, but I feel compelled.
| Congrats, you get my first.
|
| I've been using your site for 10 minutes and already added song
| after song to my library. I'm sure you'll improve the matching
| algorithm over time. This is a great first step; I'm being
| exposed to songs I've never come across before.
|
| Good job!
| subtech wrote:
| Thanks a lot, definitely have a lot of work to do with
| improving the model!
| kjhnstartip wrote:
| Same for me, I don't comment often, but this is great! I like
| having instrumental music for when I'm working (with no
| vocals), so if the model could classify vocals vs no vocals
| that would make it even more useful for me.
| ZeroCooly wrote:
| There is nothing like "Crimson and Clover"?
| https://maroofy.com/songs/59412471
| JKCalhoun wrote:
| Yeah, typed in Ultravox's _Just For a Moment_. After the 4th or
| 5th suggested rap song I clicked I just gave up.
|
| It's true though, there is nothing else quite like _Crimson and
| Clover_. I 'm pretty sure when I was 5 years old and first
| heard that song it caused me to trip. _Strawberry Fields
| Forever_ is like that too, you get high just listening to it.
| ;-)
| ZeroCooly wrote:
| Haha, true
| CamperBob2 wrote:
| Pretty cool. I think I broke it with Enya's _Pax Deorum_ ,
| though... can't get it to work at all now ("Hmm, something went
| wrong.")
| subtech wrote:
| Sorry! The service is sometimes bugging out due to the recent
| surge in traffic, which is causing some songs to consistently
| fail.
|
| Things should become much more reliable and better soon!
|
| Also, sometimes there's a delay between when a song is
| available in the text search bar, and when it has been indexed
| with my AI model (which can also cause this error).
|
| This will also be fixed!
| Madmallard wrote:
| Dream Theater Space Dye Vest
|
| -> returns christmas music
|
| yeah I think your model missed the mark lol
|
| It needs to go off the bulk of the song, not the first 20 second
| preview of the song...
| throwaway892238 wrote:
| Searched for both "portishead" and "wandering star" and it just
| showed me songs or artists with those words in them, even if the
| music wasn't even remotely close ("lucero - wandering star" is
| very very different than "portishead - wandering star")
| sitkack wrote:
| Please remove the trackers so I can use search w/o using
| incognito mode.
| no1groyp wrote:
| Not even loading
| AndyKelley wrote:
| This is so sweet. It's finding gems that when I look them up on
| YouTube, are 10+ years old and sub-200 views. Total sleepers, but
| I can discover them through this service. I love it. Great work.
| KRAKRISMOTT wrote:
| How does your approach compare to
|
| https://news.ycombinator.com/item?id=34445585
| 317070 wrote:
| Lot me try this with Lotuk by Arsenal. Every other service will
| only recommend other songs from Belgium, disregarding any other
| form of similarity (to my dispair).
|
| Currently, the website seems down though?
|
| EDIT: the results are ... not what I expected. They are similar
| in some sense, but I wouldn't consider them "musically" similar.
| It's like each of the recommendations has something similar,
| whether the drums, the baseline or the voice. But none of them
| feel similar in the whole.
|
| It's as if similarity is measured with an L2-norm in a high-
| dimensional embedding space, instead of cosine similarity? Did
| you experiment with different scoring metrics in semantic search?
| I would recommend cosine similarity, if this is an embedding
| space trained with neural networks, whether with a contrastive
| loss or with a gaussian prior.
| mikerg87 wrote:
| Very cool. Need a get a playlist from this. Seems like Spotify
| for us Apple Music peasants
| politelemon wrote:
| The search seems to be down? I'm not getting any results back in
| the dropdown.
| subtech wrote:
| Oof, honestly didn't expect the surge in traffic lol. It should
| work, as auto-scaling kicks in, etc. Sorry about that!
| politelemon wrote:
| Ah just realized it doesn't work in Firefox. I think the
| autoscaling has kicked in, just results aren't appearing in
| Firefox.
| paxys wrote:
| How the hell do you even get access to the entire iTunes catalog?
| fallingmeat wrote:
| i think that would be an even more interest post.
| hgsgm wrote:
| "Apple Music doesn't have rate-limiting. The end."
| fragmede wrote:
| um, isn't that just the Apple Music paid subscription service,
| their Spotify competitor? They only advertise ("over") 100M
| songs though, I'm not sure where the extra 20M come from.
|
| https://music.apple.com/subscribe
| paxys wrote:
| Sure, but it really can't be as simple as paying $10 for the
| month and looping through the entire catalog and downloading
| it...right? Did nothing in their system catch millions of
| simultaneous track requests and a petabyte+ data transfer for
| a single user?
| fragmede wrote:
| Why would that be against the TOS?
| franky47 wrote:
| Interesting that you linked Hans Zimmer, as he's known for
| "reusing" material across OSTs. A particular example that comes
| to mind (and where the AI did not find a match) is The Battle
| (5:52) from the Gladiator OST vs the Pirates of the Carribean
| OST.
| rohith2506 wrote:
| Tried few recommendations and can definitely use an alternative
| for Spotify radio.
|
| Seems like you are dodging the question of data access and I am
| not sure why. Even running an intelligent scraper to download
| 120M song previews sounds too complex and might take days to
| months as you have to rotate IPs and not bombard the server all
| the time. If you manage to do that, kudos. That itself is a great
| achievement. If not, can you let us know how did you get the data
| access? You might help other devs who want to try something
| similar
| m3kw9 wrote:
| He's not obligated to tell us if he knows it's an edge he wants
| to keep
| rohith2506 wrote:
| I don't think I agree with that. If he is scraping, all he
| can say is yes. The details of the scraper is proprietary and
| that's his edge for sure.
|
| If not and he found an unauthorized source of retrieving
| information, this reveals a serious security breach in iTunes
| API and it's my valid concern as a paid customer.
|
| 120M is a huge number and it's not even text. It's media
| yunwal wrote:
| I'm pretty sure the model is trained on the 30 second
| previews. If you type in a song with a lot of different
| sections, the suggestions match the preview and not the
| rest of the song. Bohemian rhapsody, for example
| jrd259 wrote:
| It did well on ""Eyes of the World" Grateful Dead finding some
| artists with similar vibe I never heard from. It did poorly in
| "Heart of the Sunrise" by Yes and "Nautilus" by COVET
| https://maroofy.com/songs/1084458728.
|
| One thing that stuck out for me is that for some genres (not
| jazz, not classic) the singing really matters. Covet, for
| example, is instrumental music, no singer at all. I wonder if
| you'd get better results by separately training on the vocals and
| the rest. (I think I've read that vocal extraction works these
| days, though I confess it's a lot more work.)
| vivegi wrote:
| This is a very music recommendation engine. The best feature I
| guess would be the serendipitous finding of unknown artists we
| might not hear otherwise. Great job!
| bfung wrote:
| Good idea - can use work on data cleaning though; got a lot of
| duplicate listings for some songs searched.
|
| It's like feeding Apple Music through Shazam - wonder why Shazam
| doesn't do what you've done here
| subtech wrote:
| 100% agree with data cleaning. Got ship some updates for this!
| homeless_engi wrote:
| Really cool! From my understanding, it looks like this is doing
| something like word embeddings and searching for nearby points in
| the embedding space.
|
| Crazy idea: what if you used a dimensionality reduction like
| t-SNE instead of learning a vector representation? Would you
| expect similar results?
| subtech wrote:
| Thanks! Yup, this is basically custom music embeddings +
| nearest-neighbor vector search.
|
| I personally found that vector representations performed
| significantly better than other approaches.
|
| And the results will actually be a lot better once I ship a
| better model (the current one can definitely be improved upon).
| QuinnyPig wrote:
| Awesome! You should name the model "Stealy Dan."
| subtech wrote:
| lool
| iopq wrote:
| One of the files doesn't load right now
|
| https://cdn.segment.com/v1/projects/F4GFNelOpRsgUJc6iwTuiXr2...
|
| Error code: SSL_ERROR_RX_RECORD_TOO_LONG
| ZeroCooly wrote:
| I've found probably the most egregious example of what knaik94's
| comment is talking about: https://maroofy.com/songs/214977681
| ("Being Alive" from Company)
|
| All the AI model seems to understand is the opening 5 seconds
| piano. Listen to the actual song it just opens like that because
| it's from a play.
|
| I think this will struggle with any song that has build up, it's
| very promising, though you need a sample of entire songs not the
| sample Itunes gives you.
| subtech wrote:
| Definitely understand the current model's shortcomings that
| people have mentioned.
|
| I actually think this is largely in part due to how the current
| model + training process is designed.
|
| I have some ideas for improving things on this front, will give
| it a try and push an update soon! :)
| goodgoblin wrote:
| Just wanted to say nice job!
| jspann wrote:
| That is a great idea! Measuring distance between embeddings has
| always been a cool concept (ex. If I have a vector that
| represents the word "king" and from it subtract the vector that
| represents "man" then add the vector that represents "woman" it
| will approximately equal the vector for "queen") and it's awesome
| to see the same concept applied to music.
|
| Most other services try to find matches by seeing what other
| songs the people who like the searched song like, and finding
| trends amongst those. This site finds songs with similar sounds
| and rhythms by looking in the vector space. Awesome! Congrats on
| the finished site!
| raffraffraff wrote:
| Lots of duplicate tracks! Is that costing you more to train?
| Like, if I type a song I find the same recording on the original
| album, single, greatest hits and a compilation album.
| subtech wrote:
| Working on some fixes for the duplicate track issue! Sorry
| about that!
| yayr wrote:
| it is not the typical "song radio" approach that would provide
| more a popularity / artist similarity based playlist but a real
| "similar song" google like search. I think that is valuable to
| discover new music, especially to find unknown artists. But if
| someone were to embed it into streaming clients that would need
| to be a different feature too, probably more search related.
| lawrencechen wrote:
| Wow, I love this! Can you make clicking play change the url so
| that songs are added to our browser history? Perhaps make
| "refreshed" pages idempotent via a hash in the url?
| subtech wrote:
| Thanks! Gonna add user accounts with play/like history!!
| hasbot wrote:
| If I'm listening to a song, I don't want the next song to sound
| similar, and the next, and the next. For example, my playlist
| just played "I touch myself", "Whiskey in the Jar," and now
| "Somebody that I used to know." All of which sound entirely
| different. But, maybe I'm an outlier. Have fun!
| sthatipamala wrote:
| Can you do some deduping? A lot of the matches are just the same
| song appearing on multiple albums or single vs. album version.
| squidbot wrote:
| Came with the same feedback, I'm having fun playing with it,
| but it's amusing to search for "Comfortably Numb" and the first
| match is "Comfortably Numb" :D
|
| https://maroofy.com/songs/1065976170
| subtech wrote:
| Yup sorry about this bug! Need to do some additional post-
| processing to prevent dupes in the catalog from showing up in
| the results.
| hooande wrote:
| Seems like the recommendations are somewhat hit or miss so far. I
| would suggest finding a way to say _why_ it recommended a
| particular song. I know that this is already common, but maybe
| you could come up with a new spin on it.
|
| Also, other comments have suggested that this was trained on
| 120MM of the audio previews instead of the full songs. That might
| explain why the recommendations seem a little off for some
| people.
| vogt wrote:
| I'm totally going out on a limb and guessing here - I'm more on
| the UI/UX side of things so I know nothing low-level about what
| goes into a building recommendation engine, algorithm, or
| whatever. But I do know music pretty well, and this feels like
| it's matching too closely to the technical aspects of the music
| and not the overall theme/je-ne-sais-quoi that makes a song
| something you _feel_.
|
| I tried two of my all-time favorite songs:
|
| The Gaslight Anthem - Handwritten
|
| Thrice - The Artist in the Ambulance
|
| On the first, I would say it was a total swing and miss - the
| recommendations had similar elements to Handwritten like
| strummed power chords, but the vibe was completely off. With
| Thrice, same thing. The first match was a remaster of the song
| itself by the band, so of course despite being a "different"
| track it was the closest possible match. The rest of the
| recommendations had a similar tempo and more heavy metal riffs
| (as are common in Thrice's songs), but none of them were songs
| I would voluntarily listen to.
|
| This is a cool idea and I hope OP if you read this you take the
| criticsm as it's intended - I'm not trashing the implementation
| or anything. This just feels like it _truly is_ a robot that
| can 't feel the emotion of a song making me recommendations.
| Uptrenda wrote:
| I have no idea what metric the AI is using for 'similarity' but
| this just sounds like random results to me. None of the vocals,
| style, genre, and so on are in any way similar. When you look at
| recommendation engines on Spotify and YouTube music they do a
| much better job at this than this engine. I think maybe if you
| had access to data that users enjoy you could cross reference
| them to find patterns and use that to order your results.
| majikandy wrote:
| Wow. The songs it suggests have such a similar tempo and vibe
| that when I try it with songs I don't know I can't really
| remember which is which.
|
| I wonder if this app has more potential for the record companies
| and songwriters in terms of finding copyright infringement than
| it does for the consumer finding new music they like?
| jeffhuys wrote:
| Tried LSDREAM - Oblivion, and I get meditation music. Completely
| different and makes it hard to believe it "analyzes raw music
| audio as input"...
| orange8 wrote:
| The homepage is an empty page with just one search box in the
| middle. It does not work in firefox.
| subtech wrote:
| Hmm I actually use Firefox myself, but tbh, it can be a bit
| flaky atm due to the sudden surge in traffic. Should become
| more reliable soon!
| orange8 wrote:
| It may be a firefox specific bug, as when I switched to
| chrome it worked well consistently. Maybe a network error due
| to origin policies?
| macrolime wrote:
| It works great, but I couldn't get it to work on Safari on
| iOS, have to click the "Listen on Apple Music" button to get
| any sound at all.
| bogwog wrote:
| I wonder why it doesn't find Weird Al songs. If you search for
| Michael Jackson's "Bad", I'd expect to see Weird Al's "Fat", but
| neither one appears in the other's results. Instead, the actual
| results are interesting, because you can hear some similarities
| if you listen closely. But they're not what I'd consider
| "similar"
|
| Still, this is a really cool project and I'm sure there's a lot
| of potential for building stuff with it.
| RayVR wrote:
| I think it's an interesting idea and look forward to future work,
| but I don't think the current results are much better than
| random.
|
| I don't really understand the features your model has learned but
| I'd start by trying to understand those features.
|
| Music is highly structured and reasonably well organized already.
| Understanding if your model learned any features that map to
| metrics used by humans is an important question. If the answer is
| "no" then I'd wonder if it's actually achieving anything beyond
| random number generation.
|
| ---edit--- I went back and tried modern pop. Which I believe it
| has learned better, although all of the music there sounds so
| similar maybe that is just a result of the small sample I tried.
| arjvik wrote:
| Can you share more details about the "custom AI audio model" used
| to generate the embeddings?
|
| Curious what sort of metrics are taken into account, and if any
| supervision is provided.
| polskibus wrote:
| How much does it cost to access this dataset at Apple?
| dankle wrote:
| Very cool, well done ! Are model code & weights open source?
| pollux01 wrote:
| this is great! can you turn this into a playlist or something?
|
| like, i'll select couple of the songs and then it gets converted
| into a spotify playlist.
|
| I need spotify btw, not apple music.
| infradig wrote:
| I tried "norwegian wood" and got a lot of acoustic guitar with
| strong down/up strokes but nothing musically similar. Beatles
| they weren't.
| tony69 wrote:
| I've already discovered some cool bands with this. Much better
| than the big platform's music recommendations. Love it!
| stephc_int13 wrote:
| I tried it with a few tracks I really like, but no luck with the
| results.
|
| They had some similarities in the tonal range, but not in style
| or quality and were sometimes completely different musical genre.
|
| I can see some value in this kind of recommendation system, but
| this is a lot of work and it should probably be flexible enough
| to learn from the user, not with a single track but a complete
| collection.
|
| I also think that automatic playlist management is rarely well
| done.
|
| In practice I am often disappointed by simple shuffle algorithms,
| the critical part, again, is that we all have different taste a
| good software should be able to somewhat match those.
| jcq3 wrote:
| Saw this project tons of times what's your added value
| smcin wrote:
| Two previous posts:
|
| 1/2022 https://news.ycombinator.com/item?id=30051909
|
| 8/2022 https://news.ycombinator.com/item?id=32233993
| chrgy wrote:
| Interesting job, How big are the vectors and did you use GPUs to
| trained? What models did you use?
| rvz wrote:
| Looks like a cool project. As long as it is free and not being
| monetized, then it might keep Apple from unleashing their
| lawyers.
|
| Apple might as well buy your project for iTunes since they are
| extremely behind in anything AI.
| jpeter wrote:
| Wow great project. I tried it with a song and I kind of get what
| I expected. The results are more unique compared to other song
| search sites
| subtech wrote:
| Hey thanks for your feedback! :D
| tunesmith wrote:
| I tried one of my own songs... I suppose it picked up that my
| stuff is a bit jazz-influenced, but it otherwise doesn't seem
| very similar. It tickles me that it thinks I'm similar to both
| Johnny Mathis and Willie Nelson, though. :)
|
| https://maroofy.com/songs/899061474
| johnx123-up wrote:
| Interesting. Some feedback
|
| 1. Please add match score
|
| 2. Group and fold duplicates
|
| 3. Add the year with the sort feature - to identify rip offs
| subtech wrote:
| Noted! got a lot of updates shipping soon.
| larryfreeman wrote:
| Possible bug: I keep getting an error when I try to find similar
| songs to any song by Neutral Milk Hotel. (For example: O Comely,
| King of Carrot Flowers Part I) https://maroofy.com/songs/5611590
|
| Love your application! Great job. Found some very surprising
| similarities to many songs that I tested.
| can_center_divs wrote:
| Hi! The website looks awesome! I have a problem with searching
| though. I can see the recommended songs below the search bar, but
| as I type to search something, it is just loading infinitely. I
| checked the network tab in DevTools and there is no requests made
| when typing or after typing and pressing enter.
|
| I used Chrome. Cheers!
|
| Edit: also, clicking away from the text input field shouldn't
| clear the value, in my opinion. The element which displays the
| results can still be hidden though. It would also be nice to
| control the volume of the played song.
| Ensorceled wrote:
| Interesting, I put in a bunch of my favourite songs and found
| nothing I liked. The songs seem to be over matching on drum beat
| and tempo so there is a similarity to the song I suggested and
| the matches but it's often superficial.
|
| For instance I picked a song with a very strong snare drum line.
| All the suggestions also had a strong snare drum line but wildly
| different melodies, genre's, tone, etc.
| subtech wrote:
| Yea, this is due to a shortcoming in the current model's
| design.
|
| Got some stuff in the works for an improved model, hopefully
| will be able to ship it soon!
| ttctciyf wrote:
| It would be great to be able to interrogate the model. For
| example, I'd love to know what it found to be similar between
| Sound Chaser[1] and Mellotree Park[2] !
|
| 1: https://www.youtube.com/watch?v=Eks6KcV2ufg
|
| 2: https://www.youtube.com/watch?v=IYPfbX0DmrE
| pbronez wrote:
| There might be an interesting open source / self hosting angle to
| this. Some folks have a large library of music stored locally.
| Platforms like Roon can give you recommendations on top of this,
| but are expensive and include a lot of other features.
|
| You could provide discovery services to these users in exchange
| for model updates and feedback. Couple thoughts on this:
|
| - there are modern techniques to update an ML model at many edge
| locations, then combine the learnings without violating user
| privacy. One common application is type-ahead models.
|
| - People who have large local music collections tend to care
| about music, and would take the time to provide high quality
| labels for you.
|
| - computers used as media servers often have unused compute
| cycles because music playback is not that intense and most folks
| don't have music on 24/7. You could harness these to reduce
| training costs for your model
|
| - These libraries would give you access to the long tail of the
| music catalog, including many things that aren't on iTunes or
| other streaming services
|
| - This would also put you in a position to run an open music
| catalog. Your embedding index would be a key differentiator from
| existing options.
| rafaelmelhem wrote:
| Tested with my own music production and the first similar result
| was quite impressive!
|
| https://maroofy.com/songs/1452423952
| hackernewds wrote:
| It produces similar _sounding_ music. but that 's not really what
| one is looking for when discovering music. Example is when I put
| a Bollywood song, it produces for me similar sounding Latin music
| which isn't going to fall into a good queue.
|
| how Spotify does this is matching songs that have been human
| added to the same playlists - hence matching tastes.
| joshu wrote:
| this is pretty awesome.
| subtech wrote:
| <3
| aryamaan wrote:
| It's fast.
|
| But not sure if the song I input and the songs I get back are
| similar. Going to try them out further.
|
| What things are they supposed to be similar at? beats? melody?
| hackertoday2023 wrote:
| [dead]
| thom wrote:
| Nice snappy UI. I found a couple of times on iOS that after I'd
| clicked through to Apple Music, if I returned, the app had
| somehow stopped being able to play again but this is very well
| done. I think I would give a boost to song names over
| bands/albums in the search as I think a fuzzy song match is
| probably more likely what a user wants than an exact album/band
| match on something they've not heard of. I'd definitely use a
| playlist feature that just queues up the top 20 matches in Apple
| Music, but I don't know what the API looks like. Anyway, only
| feeding back because it's great.
|
| I can certainly see what the model is getting at each time, and
| I've not hated any of its suggestions so far, but I've also not
| stumbled over any new favourites yet. I don't know what kind of
| features the model is able to learn, I think it might miss one of
| the things I like most in music, which is not just dynamics, but
| something that builds tension over time and then blows up. If
| there are no longer range features like that I'd certainly
| experiment with them.
|
| I've had a lot of success with Apple's own suggestions (which are
| admittedly extremely hit or miss), and I've probably grown my
| collection 1000% in my 30s and 40s after letting music drift away
| from me in my 20s. There's nothing better than the feeling of a
| new suggestion and you click through, and there's no artist
| profile because they're unknown, and they've got like 300 Twitter
| followers but you love them like a 15 year old. At least once on
| here I clicked through and found that I was listening to the only
| song ever recorded by someone, which seemed quite special.
| zombiwoof wrote:
| interesting but it seems to just sound sonically similar songs.
| machiaweliczny wrote:
| I often want to search also by semantics of lyrics not only beat.
| I think there should be option for both.
|
| EDIT: doesn't work for https://maroofy.com/songs/1640070887
| dangwhy wrote:
| I tried some songs but recommendations were tracks that sampled
| that song and songs with same name.
|
| I am not sure if thats quite what i am looking for.
| pandemicsoul wrote:
| Yes, came here to say something similar. I searched for a song
| that was playing on at the moment, and what I got back were six
| other versions of the same song, at the top of the list, from
| the same artist from different albums.
|
| Covers of this song would be great! But probably worthwhile to
| exclude anything with the same name by the same artist.
| NateEag wrote:
| I tried a few of my favorites and the results were...
| predictable, I guess.
|
| It kind of matches genre, but has no grasp of musicianship or
| _why_ I might like a track.
|
| And this is a fundamental problem. See Avery Pennarun's brilliant
| explanation of tracking users, data analysis, and recommendation
| systems to understand why:
|
| https://apenwarr.ca/log/?m=201902
| kennyloginz wrote:
| I'm not able to paste into the song field, a little frustrating.
| Otherwise, this has caused me to sign up for Apple Music.
| subtech wrote:
| Will 100% improve the UI!
| swyx wrote:
| very cool OP!
|
| could you make an "auto playlist mode" that blends one song into
| another seamlessly?
|
| usecase - party where we just want to set and forget one "vibe"
| subtech wrote:
| haha that would be fun
| kilianinbox wrote:
| Good work! I tried some house tunes. I guess the results were
| similar but expected something more direct.. a suggestion; since
| some listens only includes the intro - it would be a good idea to
| match the first 5-10 seconds in harmonics; probably in the span
| of 90-180 hz. But I guess that would take a whole lot of new
| work.. So, anyways - if there's a way to jump in a bit into the
| song I think it might be beneficial. But after trying a bit more
| I realized simply that the quality of good productions was more
| of an issue. Great work anyways!
| pointlessone wrote:
| This is great! Found a few good songs I've never heard before.
|
| Now, it would be awesome is it could generate playlists I could
| play directly in Apple Music.
| subtech wrote:
| Playlists coming very soon!
| dingosity wrote:
| Don't tell me, let me guess. All songs sound like English-
| language American pop songs.
|
| (Sorry... I'm being a jerk here. This is a cool thing that you
| built. I only wish iTunes had a greater variety of music.)
| mightytravels wrote:
| Really great tool. I found a lot of similar songs for less well
| known songs of mine where Spotify and Youtube Music both have
| stopped delivering any relevant recommendations!
| cydmax wrote:
| I've just tried `Simon and Garfunkel - Mrs. Robinson` as the
| search input and the results are really compelling and
| interesting! Keep on the good work. I might use it to find new
| tracks for my daily playlist and dj sets!
| jchook wrote:
| I quickly found some incredible music from this.
|
| For example, by searching Gold Panda I found Major Dynamic
| https://majordynamic.bandcamp.com/
| subtech wrote:
| <3
| jacky2wong wrote:
| Just tried it - I Walk Up by Luke Christopher and Memories is not
| too bad! Admittedly - encountered quite a few problems as part of
| this though - with a few random pop songs in the list.
| raffraffraff wrote:
| I'm wondering if anyone has done something similar, but instead
| of trying to find similarities in the raw audio, they use tags
| available from sources like Last.FM, Musicbrainz, Discogs etc?
| And the ultimate answer to that is probably "those sources kinda
| suck". Discogs is like a trainspotter on the spectrum, fascinated
| by release IDs. Musicbrainz is kinda similar (each song will have
| a dozen matches of wildly different quality). Last.FM tags are
| used-generated which make some of them amazingly useful, and
| others amazingly detrimental.
|
| I have a human-powered recommendation service that uses my own
| tags that I've added to my mp3 library over 25 years. I add
| instruments (not all, just the ones that stands out, like synth,
| flute, distortion, violin, piano), vocals (male/female, falsetto,
| spoken, rap), moods (happy, sad, angry, mellow, dramatic,
| chillout) and genre (I don't go too deep here, because I hate
| getting recommendations stuck within some obscure sub-genre). And
| that's it. I get it to play a random highly rated track with a
| keyword or two, and then use the tags from the first 10 songs to
| generate the next. But since, for me, music is a somewhat
| interactive experience, every 10 songs or so, I'll think of
| something that I want on the list (maybe reminded of it by
| another one that just played).
|
| Other things I think might be useful for recommendation is
| Last.FM histories. Think about it, the are hundreds of thousands
| of active listeners "scrobbling" their listening history. You
| could easily parse that and group songs together that have been
| played within 5 songs of each other as long as they're not by the
| same artist and the time between the songs is around zero (ie:
| listened to in order, no pauses). Similarity is higher for songs
| that were next to each other and score drops.
| alastairp wrote:
| In fact, ListenBrainz (partner project to MusicBrainz) is doing
| some stuff similar to what you mention about listening
| histories. We're using the data to generate similarity based on
| when songs are listened to each other in "listening sessions"
| along with other songs.
|
| Follow the troi-bot user with a ListenBrainz account, and we'll
| generate you a daily playlist:
| https://listenbrainz.org/user/troi-bot
|
| This is still very much work-in-progress, but we're doing as
| much as possible out in the open to solicit feedback from
| people.
| nxpnsv wrote:
| Discogs is great, it just doesn't concern it self with how the
| music sounds...
| raffraffraff wrote:
| Which is unfortunate because it has (on a tiny number of
| releases) instruments and vocal tags. It's just so
| unreliable. AllMusic is another decent source for tags, but
| not instruments. It's the age-old problem with ML/AI: data
| quality. Garbage in, garbage out. If only we could crowd-
| sourcev listeners and get them to tag music from a list of
| available moods, instruments etc. Oh wait .. that's exactly
| the feature that recommendations services have been
| _removing_ for the last 10 years.
| vintermann wrote:
| User tagging isn't a panacea either, because people tag
| inconsistently, and people who tag a lot are probably not
| very representative.
|
| For an extreme example of that, see the boorus. Some
| machine learning people have become interested in those,
| since they are huge dataset of extensively tagged material
| ... or maybe it's the booru people who have become more
| interested in machine learning. Either way, I'm sure
| they're great, if you're into waifu anime, porn, or waifu
| anime porn. Both types, country AND western, as they said
| in the Blues Brothers movie. Any tag remotely subjective
| (such as "beautiful", God help you) is going to be
| extremely coloured by the tastes of an extreme fringe.
|
| At least, relying on fanatics to do the work for them, I
| assume they've got a handle on simple spam on the boorus.
| Commercial recommender service tagging systems don't have
| that luxury, and that's probably why they end up eventually
| removing them.
| raffraffraff wrote:
| This is very true. I'd pay for a metadata-only / playlist
| service that works with Spotify/Tidal/Apple/local music.
|
| And don't allow free-text tags. Instead you give a list
| of available tags - the lowest number needed to describe
| most tracks. I mean, let people add their own if they
| want, but you should ignore those while training the
| model.
|
| I actually think that instead of trying to tag some
| specific mood (eg "happy") some sounds be a sliding scale
| between two opposites:
|
| happy<-------|--->sad
|
| Instrument tags are easier to understand. Give a list of
| instruments (or instrument types, because the user might
| not know precisely which woodwind or percussion
| instrument it is) with checkboxes beside each.
|
| Some users will be experts because they play woodwind.
| Let those users apply to become experts, pass a test,
| "identify the instrument", and if they pass, give them
| half price subscription as long as they moderate X tunes
| per week.
| class4behavior wrote:
| rateyourmusic.com is an alternative to allmusic.com while
| chosic.com focuses on finding music.
|
| The later has generated more similar music for me so far.
| But I welcome every additional project improving the search
| for music which has been so neglected by most services.
| macrolime wrote:
| I've tried with Discogs and found it to work pretty well. Kinda
| similar to what OP did just the "embedding" vectors was created
| by the Genre/Styles on Discogs. I didn't have a Vector database
| though, so it was kinda very slow. On Discogs those tags are
| per album and not per track. To create a playlist of say 10
| songs similar to a song, I'd find the ten closest albums, then
| search for them on last.fm and pick the most popular track on
| each to add to the playlist.
| alastairp wrote:
| A similar embeddings model based on Discogs genre/style data
| is the Effnet-Discogs model made at the Music Technology
| Group at Universitat Pompeu Fabra:
| https://replicate.com/mtg/effnet-discogs
| raffraffraff wrote:
| Per-album metadata is useless for a lot of stuff that I like.
| It's even useless for a lot of The Beatles stuff because they
| tend to have a range of styles on an album and tended to
| bring in weird instruments on individual tracks.
| majikandy wrote:
| If would be amazing if it kept playing when you press "search
| similar" on the one you are playing.
| subtech wrote:
| Working on a better music player UI that should also fix this!
| mikeponders wrote:
| Good work! I'm trying this out. It seems it tries somehow to
| match keys tempos and percussion characteristics.
|
| Some suggestions:
|
| - Have a relevant/irrelevant button, so users can tag useful
| music and suggestions that were irrelevant. Save that data and
| use it to make your model better, either in realtime or
| incrementally.
|
| - Allow some other options for sorting tracks also. Have the most
| relevant but also the most popular (as in charting) on top. Or
| maybe sort by the user rankings (how relevant they think a track
| is).
| moremetadata wrote:
| https://maroofy.com/songs/500162235
|
| Your AI is processing the tempo and beat of the music, its not
| looking at the lyrics and what the lyrics mean, its not
| processing any accompanying music videos and its not really
| factoring in emotion, the mood and events of the day in the
| locale it comes from.
|
| Another factor, is its not taking into account the limitation
| instruments had on music before the introduction of the
| synthesizer and the tech we have available today in order to make
| music.
|
| There are other websites which also make suggestions and doesn't
| factor in the above points, so your website is not alone in not
| really grasping the mood of the song. I'm sure its a limitation
| of the AI models available to people like yourself today, along
| with time constraints and other factors including access to data.
| Just how far do you read into things?
|
| When you see an AI suggest the likes of the Sex Pistol's God Save
| the Queen with this song, you are then looking at an AI which is
| intelligent. Quantify the mood of the music, the mood of the
| country or region during that period of time. Thats a very hard
| thing to do, and masters of that would be the BBC, simply because
| as national broadcasters, an extension of the British Military
| aka MI7, arguably global broadcasters with their world service,
| you'll realise there are songs which just wont be played when
| certain events are happening on the ground in regions which would
| be featured in the news and thus considered inciteful. Its very
| subtle how manipulation at a national or global level takes
| place, but it takes place.
|
| However it is also a very difficult song to quantify, as this
| youtube reaction video sums up nicely.
| https://youtu.be/5vK1FZO1ybE?t=296
|
| If you know anything about the band, they span many genres, and
| yet they also their own genre. Truly Prodigious.
| layer8 wrote:
| > Your AI is processing the tempo and beat of the music,
|
| I don't know about that, I tried a number of songs with 3/4 and
| 6/8 measure, and none of the suggestions were, so it doesn't
| seem to pick up on that.
| lngnmn2 wrote:
| Did you pay for the songs?
|
| There is also something to read
|
| https://schiptsov.github.io/GPT-bullshit.html
| sAbakumoff wrote:
| "I wrote AI to detect 4 chords songs"
|
| https://youtu.be/5pidokakU4I
| intelVISA wrote:
| Really cool, quite surprising that this hasn't been done (well)
| before afaik.
| [deleted]
| motoxpro wrote:
| This is the Spotify Radio feature. i.e. find a song and start a
| radio from that song/album/artist
| cirrus3 wrote:
| I searched for "Hot Chip" and all the recommendations were other
| Hot Chip songs... is that normal? I was expecting different
| artists, and honestly not expecting any songs by the same artist.
| nereus wrote:
| Pop in a specific Hot Chip song and it'll work better I reckon
| kriro wrote:
| Nice and very responsive, well done. I searched for "Imeprial
| March" (the John Williams Wiener Philharmoniker version) and this
| was one of the highest ranked results: Inauguracion del
| Ferrocarril (by Nathan Stornetta). I kind of chuckle thinking
| about what a happy empire this would be with that theme song. And
| of course it also answers my initial research question...which
| national anthem is highest ranked for Imperial March. The answer
| is Taiwan...make of this what you will. Star Spangled Banner is
| the second one a bit down the results list.
| neurogence wrote:
| Bro, don't listen to the critics! It is amazing as it is. Much
| better than my spotify recommendatinos.
| EzraM wrote:
| This works great! I like the way it finds resonances between
| genres and am one of the folks that see that as a feature :-)
| Very well done!
| mightytravels wrote:
| Oh and this page always bugs out:
|
| https://maroofy.com/songs/56371517
| neurogence wrote:
| Bro, don't listen to the critics. It is amazing as it is! Don't
| fix it if it's not broken. This is much better than my spotify
| recs. Much much better!
| knaik94 wrote:
| This is very interesting, but unfortunately I haven't had the
| greatest luck in finding new songs I would enjoy listening to. It
| absolutely finds similar sounding tracks, but it doesn't
| distinguish which part of the song made it enjoyable. There's no
| tempo consistency or genre consistency or even main
| instrument/vocal timbre consistency between recommendations. I
| think locking one or more of those dimensions would allow for
| much better recommendations. I'm not sure what aspect you're
| using to order the results, but having extra metadata to filter
| or group the results in some way would help a lot.
|
| Take Raga's Dance by Vanessa-Mae, A R Rahman, ... Royal
| Philharmonic https://maroofy.com/songs/476841571 . I put in this
| track expecting other fusion songs to pop up, and arguably some
| do, but much more often it feels like a 20 second section was
| used to define the original song and it misses the underlying
| concept. Like it got, in my subjective description, the epic
| violin in orchestral music, but it completely ignores the fusion
| between the distict styles of traditional indian
| singing/instrumentals and western ochestral and also ignores the
| call response structure between the violin and carnatic players,
| which is the what I actually care about. Other songs have the
| vocals but no epic backing. It feels like it's matching multiple
| samples from the song instead of the whole song.
|
| This feels very promising since it clearly is picking up the
| styling of the specific songs across different genres and
| languages. I look forward to seeing where this goes.
|
| I also think it would be interesting if there was a way to
| specify two different songs to find either only the common things
| and/or to find what the fusion of those two tracks produces.
| subtech wrote:
| Hey thanks for the feedback! I definitely have a lot of
| improvement to do on the model, it currently performs better
| for some styles/genres of music than others.
|
| But the model architecture I'm using is kinda outdated as well,
| gotta iterate on it more to improve it further!
|
| I'm also thinking of letting users upvote/downvote results,
| which can also help improve quality on the ranking side.
| runnerup wrote:
| Honestly it's loads better than current Spotify/YouTube Music
| suggestions. Mostly they just seem to suggest popular stuff
| that's heavily marketed...even though I seeded all my "thumbs
| up" with only eclectic stuff.
|
| Yes, it's hard to find a song I really really like, but
| 1-in-10 seem to be something I'd add to my eclectic "thumbs
| up" playlist. And almost none of them are by any artist that
| I've heard of before.
|
| This is huge for me. Thanks.
| chiefalchemist wrote:
| You're not alone. For me, Spotify suggestions are "things
| you won't hate." Most everything is palatable, but
| forgettable and too usually not all that interesting.
| chiefalchemist wrote:
| I'd like to add, it's not all the platforms' fault. Too
| many artists aren't artists at all. The make too little
| effort to be unique.
| colordrops wrote:
| I never get any heavily marketed music recommended on
| Spotify. Almost invariably it's something obscure. But I
| only ever listen to obscure music. I guess I'm saying I
| don't think the Algo is weighted for payola.
| RhodesianHunter wrote:
| I honestly think they try first to make you happy, second
| to reduce their spend.
| thegabriele wrote:
| I don't know if someone already said this, but as an amateur
| music producer i would love to upload my songs and discover
| similarities. Thanks for this Amazing tool
| anagram666 wrote:
| Another strange music for your testing that gives complete
| bonkers recommendations: https://maroofy.com/songs/1486467186
|
| If you need someone to test your model, you will never find
| one with more eclectic/strange taste than me ;)
| sogen wrote:
| Another bonkers one:
|
| Nine Inch Nails
|
| https://maroofy.com/songs/1440934933
|
| Recommended Muppets
| gilleain wrote:
| My contribution :
|
| 1) https://maroofy.com/songs/1443834381
|
| 2) https://maroofy.com/songs/714207207
| defrost wrote:
| FWiW I had one shot and entered "Tabaran"
|
| Rather than get back anything "acoustically similar" it
| simply returned a list of other songs on the same album
| (several of which are far from being acoustically similar).
|
| No drama, you're attempting to cover a lot of ground, but I'm
| guessing there was no actual fingerprint there for that work
| and no sense of other songs that sounded similar.
|
| ADDENDUM: Okay, I had to select the song <doh> .. but still
| "something went wrong" - perhaps hugged to death or not found
| to process. No matter :-)
| mustacheemperor wrote:
| I'll note my own experience, that Spotify and Apple Music
| both struggle to find me latin reggaeton outside a small
| subset of popular artists, and my first couple searches with
| this tool have found me _so_ much music I 've never heard
| before that matches exactly the 'vibe' I want to hear, and is
| introducing me to different-but-related sounds and artists I
| couldn't have found on my own.
|
| I agree with the other commenter - this is huge for me.
| Please, do whatever you need to do to monetize this so it
| never goes away. I would love to pay you for this.
| turkeygizzard wrote:
| Wanted to hop on and say this is amazing, thank you for
| sharing this! Also agree that it seems that it's really good
| at finding literally similar sounding songs, but not what I
| would expect a friend to recommend (this is both good and bad
| I guess). As someone else said, this is already way better
| than my spotify recs
| subtech wrote:
| ty for ur kind words! <3
| dbtc wrote:
| I am enjoying Raga's Dance, which is nothing like what I was
| just listening to. Thank you for the recommendation ;)
| zuminator wrote:
| I agree with everyone's criticisms that it seems to identify
| similar tempo and melodic riff, irrespective of genre. But to
| me this is a feature, not a bug. I could see this or something
| like it opening my eyes to music I would never possibly have
| found on my own. I really like it!
|
| Spotify on the other hand seems to want to send me to the same
| group of artists and tracks I've listened to before, following
| some Collatz conjecture type algorithm that eventually
| converges on the same tuned playlist for that genre, no matter
| what the starting parameters may be.
| Dwolb wrote:
| It's a pretty cool idea and gets to a philosophical question
| really quick "what do people mean when they say they like
| similar music?"
|
| Era? Artist? Genre? Sound? Tempo?
|
| Personally I spend my time finding similar-era music because
| I like to hear how sounds evolved.
| zuminator wrote:
| Ideally one would like an algorithm to be able to
| realize,"this person prefers to explore new music from the
| same era," vs "that person prefers to jump around to
| different countries," vs "the other person prefers to remix
| their existing playlists," and thus come up with the
| optimal degree of novelty for each listener. Or at least
| let the user set a novelty slider to customize their own
| experience.
| f1refly wrote:
| > _But to me this is a feature, not a bug. I could see this
| or something like it opening my eyes to music I would never
| possibly have found on my own._
|
| What makes it different from a big "play me a random song"
| button then?
| mejutoco wrote:
| They have some similarity based on the actual music.
|
| > it seems to identify similar tempo and melodic riff
| criddell wrote:
| Spotify wants you to listen to the tracks that they are paid
| to promote.
| brentis wrote:
| I had the same experience. Could see the element which it
| matched with, beat, pitch, etc.but missed the riff or nuance
| that made the source song special to me
| gradascent wrote:
| I've only tried a few songs but they've mostly been bangers! I
| did come across a couple examples where the recommended songs
| just heavily sampled the original but overall very impressed.
| msla wrote:
| It doesn't seem to find similar-sounding tracks at all for me.
|
| Examples:
|
| The Oblio Joes - "Captain of the Moon"
|
| The Bondage Fairies - "Levenus Supremus"
|
| ... both chosen so "Just shove a bunch of recent pop-rock at
| the user" won't work.
| anagram666 wrote:
| If I am not mistaken, it this is only trained on the preview
| and not on the entire song.
|
| If you listen to a music with a real intro, it gives strange
| results. For example: "Goodbye Blue Sky - Pink Floyd"
| (https://maroofy.com/songs/1065976153)
| danieldk wrote:
| Same for "Station by Station - David Bowie" -- lot's of
| tracks with ambient noise.
| dmitriid wrote:
| Categorising music is surprisingly different.
|
| See this paper from https://everynoise.com/ :
| https://everynoise.com/EverynoiseIntro.pdf
|
| IIRC they try to classify music on 17 different
| points/features. What you see on the web is an attenpt to
| visualise (and provide a guide to music based on) some of them
| vintermann wrote:
| Yes. I think many of those features are based on pre-NN
| feature detectors (such as BPM), and Danceability, Valence
| and Energy sound like primary components that have been given
| names.
|
| Echo nest was great for its time, but if they have kept up,
| they're not exposing their more modern learned features to
| users anymore.
| dmitriid wrote:
| They were acquired by Spotify, and there's been some work
| done by/for Spotify since then.
|
| I'm not at liberty to say what, sadly, as I work for
| Spotify.
|
| I think I can say that one of the main challenges is
| running this analysis for users. It's prohibitively
| expensive (or was prohibitively expensive) to use this to
| keep track of and run recommendations for what users are
| listening for each user.
|
| It can be used on smaller scales, but, well, it's probably
| NDA :)
| macrolime wrote:
| Can you say why Spotify's recommendations are so bad?
| Something like what OP has made should have been
| relatively simple to make for Spotify for many, many
| years already, yet that hasn't happen. Is the whole
| system just rigged to only recommended a few "sponspored"
| artists?
| dmitriid wrote:
| Because, as I said above, it's a very complex problem :)
|
| I honestly don't know much about recommendations (and
| what I know I probably cannot tell). But there's
| definitely continuous work done on them. But it can also
| be hampered by extremely conflicting requirements (where
| "some" both means double-digit procent of users _and_
| these "some"s overlap with each other):
|
| - some users want more of the same, some users want a
| more diverse listening experience. Some of these users
| are the same user, but on different days
|
| - some users mostly prefer curated suggestions, some
| users want ranodm stuff. They can also be the same user
| :)
|
| - some users a heavily weigted to only a few artists,
| some users listen to evereything and anything. And even
| this can be the same user :)
|
| - there's probably stuff about licensing, availability,
| contracts etc. at play as well, because in streaming
| services it's always there, in very bizarre ways
|
| Basically every single tweak to recommendations will
| break them. And yeah, Spotify employees will complain
| about this more than anyone else, all the time :)
| vintermann wrote:
| I doubt that "why does your product suck" is one of the
| things a Spotify employee is allowed to talk freely about
| in public!
|
| But I've been watching them, I will speculate. A few
| years ago, Spotify had two young interns, Sander Dieleman
| and Aaron van den Oord. We know a bit of what they worked
| on, because Dieleman blogged on it, and indeed it was
| something a lot like what OP has made here - only better,
| I would say. I asked him, and Dieleman was allowed to say
| that the thing they built was one of the inputs into the
| then-new Discover Weekly, which made headlines for how
| outrageously good it was.
|
| But Dieleman and v.d.Oord did not stay at Spotify. They
| were headhunted by DeepMind, and have had a VERY
| impressive track record there over the years.
|
| And I wonder why. Was there a conflict between the old
| school ML of the Echo Nest people and the new fancy
| neural net kids? Or was it just, as GP alludes to, that
| the NN methods were just too computationally expensive
| and they failed to justify their costs to leadership?
| pbronez wrote:
| A distributed, local-first architecture much work well
| for this. I'm happy for my computer to crunch away on my
| behalf, generating recommendations and indexing stuff.
| I'm happy to recontribute that work to a common index of
| some kind.
|
| I def prefer for that common index to have a permissive
| license though!
| Abecid wrote:
| Same here
| scotty79 wrote:
| I see duplicates on recommendations list.
| TuringNYC wrote:
| Dear @subtech I was curious if you tried other approaches, such
| as the same thing with lyrics instead of audio?
|
| Also, you note "I've indexed ~120M+ songs from the iTunes
| catalog" -- could you share some of the libraries/tools you used
| and which you did or didnt like?
| chrisgd wrote:
| I find it disheartening that the comments are loaded with people
| saying how bad it is. The interface is awesome, the ability to
| have search results pop up and offer suggestions is impressive. I
| thought the results for a Lana Del Ray song and a song by Carlos
| Santana were both interesting and suggested new things.
|
| We should do a better job of supporting creators here.
| pvg wrote:
| _a better job of supporting creators here_
|
| You can do that by commenting on the things you liked about the
| project! But without the meta because that just begets more
| meta and ends up detracting from the thing being showhn.
| chrisgd wrote:
| I did the latter and think the former is necessary. It is
| like when Dropbox was on here and everyone shit on it. You
| can offer criticism without being a jerk.
| pvg wrote:
| _the former is necessary._
|
| It's not because it does the opposite of what you want.
| Write good comments, downvote or flag the bad ones, email
| the mods about egregious stuff. Inveighing against the
| snapshot state of the thread almost always ends up wrong
| (it's pretty much already wrong about this thread) and
| generates noise of its own which works directly against
| your intended goal - people showcasing their work and
| getting feedback about it.
| retrac98 wrote:
| Nothing plays for me.
| subtech wrote:
| Thanks! Definitely welcome all the feedback here.
|
| Gonna ship a better, improved model soon!
| SparkyMcUnicorn wrote:
| I've been wanting a music suggestion service in this category
| for years. I haven't been able to try it out yet (hugged?), but
| I don't really care how bad or good it is as long it gets
| better and sparks more people to do stuff like this.
| [deleted]
| fzliu wrote:
| Agreed 100%. Folks often forget that a great model is only a
| tiny part of the equation - strong execution and a solid demo
| are also critical.
|
| Google/DeepMind might have an RL-based chatbot equal to or even
| better than ChatGPT, but OpenAI has achieved the most due to
| its ability to ship.
| alokym wrote:
| Oh no AI replacing DJs.. :D good work, will use that next time I
| search for similar tracks, thanks!!
| rcarr wrote:
| Possibly an unpopular opinion (which is ironic), but I think this
| could do with taking popularity into account. The vast majority
| of music out there is generic landfill at best, and just outright
| bad at worst. I think once you've done the first pass and got the
| sonically similar songs there should be some kind of filter which
| prioritises tracks with higher listener counts which would inject
| some 'wisdom of crowds' into the decision making. It would be a
| pretty cool feature to then be able to have this setting on a
| slider with obscure at one end and popular at the other.
| jointpdf wrote:
| Holy cow does this thing have wildly obscure taste in tunes. I
| plugged in "Work It" -- Marie Davidson, and it returned
| "Beautiful Weather" -- Blemow. This is an 8-minute opus of a
| techno jam from the album _Dutch Cow #13_ --the 10th and final
| _Holy Cow_ album released in 2018, a true _annus mirabilis_ from
| Blemow.
|
| IMO my idea for making something like this really cool is to give
| the user more explainability (why are these two songs similar?
| according to which factors?), and then more control over search
| results (brainstorming here, but stuff like an obscurity slider,
| importance of beat similarity slider, etc.). You can try to
| extract explainable factors from your embeddings with something
| like NMF.
|
| (PS--I like the esoteric results. This is cool, good job.)
| [deleted]
| Tepix wrote:
| It seems to be broken as of 08:44 UTC.
|
| When i enter something in the search box i see "Loading..." and
| nothing happens.
|
| I tried both Firefox and Safari.
| hndamien wrote:
| This is great! It works quite well. I would love to see something
| like this with the ability to use license the music for a Youtube
| video so that you could get good music for a video, and exposure
| and money to lesser known artists.
| fblp wrote:
| A good chance OP is going to hear from Apple legal, Apple
| recruiting, or both =) But cool project!
| subtech wrote:
| :)
| mguin wrote:
| It's actually great. I got a ton of good recommendations. The key
| is to actually use it to search songs of similar beat or tone.
| subtech wrote:
| Personally, from using it a lot during development, I found
| that I kinda developed a sense for which types of songs it'll
| do really well on, and which types of songs it will sometimes
| struggle with.
|
| But a lot of this should go away with a better, improved model!
| goldemerald wrote:
| Wow, these songs were impressively similar to my queries. I would
| love for a interpolation playlist feature, where I put in 2
| different songs (from say, classic rock and EDM), and I could get
| 10-20 songs that slowly change from the start song to the end
| song.
| jameshart wrote:
| Yes, this: can you get any interesting insights by playing with
| the embedding vectors? What happens if you add embeddings
| together? Weighted average of multiple tracks? Follow the
| average vector for an artist's work over time?
| subtech wrote:
| 100% This is definitely worth exploring, and I'm currently
| trying to figure out the appropriate front-end UI/UX to
| expose this functionality for users.
| LunarAurora wrote:
| I second this, somewhat like
| http://boilthefrog.playlistmachinery.com/
| indigodaddy wrote:
| I guess my taste is outside the loop. Two songs off the top of my
| head I guess are not in it's database:
|
| Beautiful Strangers (Kevin Morby) Elephant Woman (Blonde Redhead)
| koreanguy wrote:
| [dead]
| [deleted]
| bradhilton wrote:
| Very cool, just tried it out and seems to work. Great job
| hypefi wrote:
| You are into something here I am telling you, while spotify does
| provide recommendations of what you would like to hear, it does
| not provide similar sounding songs, as a musician I love it.
| subtech wrote:
| Haha, thanks! :)
|
| Will definitely work to improve the current model!
| RagnarD wrote:
| Isn't Apple going to give you a hard time now? Years ago, Apple
| might have offered to hire you. Given what a jerk is Tim Cook, I
| imagine he'll have the lawyers send a cease and desist.
| emodendroket wrote:
| Other people have called out limitations and I don't disagree,
| but I'll say that I do find the different approach, based
| entirely on sounding similar, interesting. Recommendation engines
| in music streaming services often tell me about related things I
| already know I like. That's not necessarily unwelcome (if I'm
| listening to one song that appears in Footloose, sure, it's not a
| bad surmise that I might like to hear another), but this tool
| surfaces a bunch of stuff I would have never thought to look for
| or found normally.
| jaimex2 wrote:
| Pandora?
| Izkata wrote:
| Yeah, I don't know if they changed it but this sounds similar
| to how Pandora used to do music recommendations: Models based
| on various aspects of the song, then find best fits to those
| aspects. It would even tell you why a given song was suggested.
| kujta1 wrote:
| Which package/tool you used for semantic search?
| subtech wrote:
| FAISS for nearest neighbor vector search.
| kacperlukawski wrote:
| Have you considered using a proper vector database, so you
| can scale it up and run in a cluster? I mean something like
| Qdrant.
| hsuduebc2 wrote:
| It works surprisingly well. Good job. It confuses bluegrass and
| latino music but they share tempo and instruments so I get it.
| Impressive.
| SnowflakeOnIce wrote:
| What vector database do you use? Did you run into any scalability
| challenges there?
| subtech wrote:
| 100% ran into a ton of scalability challenges lol. Maybe I
| should write a blog post about it sometime.
|
| But for now, ended up using plain old FAISS.
| BugsJustFindMe wrote:
| Feedback: "sounds like" for music is more than just rhythm and
| tone. The search results are all useless for me because two songs
| with similar sheet music often have wildly different lyrical
| styles and subjects.
| pbhjpbhj wrote:
| What would you say was the best music similarity search or
| recommendation engine you've used?
| BugsJustFindMe wrote:
| reddit
| bredren wrote:
| It's interesting from a musicology POV.
|
| I was looking at Islands in the Stream by Dolly Parton and
| Kenny Rogers and it had some Latin neighbors that make some
| sense to me from the synths in IitS.
| haha69 wrote:
| I have been wanting to do similar things. But, shied away because
| I wasn't in the mood to find out if this sort of thing was legal
| or not. Can someone here who knows this space better talk about
| the legal aspect of doing something like this?
| input_sh wrote:
| You're just interacting with the API, you're not gonna have any
| legal issues. I have some experience with Spotify's API (not
| MusicKit), so I'm gonna try guessing how it works based on
| that.
|
| There's an API endpoint called audio_features[0] that tells you
| things about the song (tempo, danceability, acousticness,
| major/minor key...), so while you can't get full versions of
| every song, you can approximate how they sound like based on
| Spotify's audio analysis of them.
|
| So, build a database of audio_features while respecting API
| limits, find the most similar ones based on about a dozen
| variables, and you're good to go.
|
| [0] https://developer.spotify.com/documentation/web-
| api/referenc...
| pbhjpbhj wrote:
| I doubt T&Cs have included "no training embeddings with our
| data" yet; so they're probably clear there (and it might be
| Fair Use in USA??).
|
| On the main question, I think we'll be waiting for Getty v
| whoever (Dall-E?) lawsuit to see what courts think.
|
| A useful indicator might be have any major corporation's
| released AIs trained on public data - because they will be the
| prime targets for people looking to sue and walk away with lots
| of money. You can get plugins for Photoshop to do AI imagery,
| but I don't think Adobe sell any?
| m3kw9 wrote:
| How do you train "vibes" other than with human input, which
| cannot possibly scale to classify so many combinations
| snow_mac wrote:
| How did you get access to 120,000,000 songs from iTunes? Not just
| the listing, but the actual audio.
| fallingmeat wrote:
| im also curious
| charcircuit wrote:
| The preview audio is free. It may just be 120,000,000 previews.
| yreg wrote:
| Even so, how do you get the 120M previews?
| amelius wrote:
| ... without getting banned?
| from wrote:
| Apple has a public API with some rate limiting that returns
| a link to the preview audio file, see:
|
| https://itunes.apple.com/us/lookup?id=1023678453
| (https://www.chrisjmendez.com/2017/06/19/working-with-
| itunes-...)
|
| So probably all that is required is a couple threads
| downloading and a proxy service with a large pool of IP
| addresses randomly rotating on every request. Maybe OP also
| found an undocumented API endpoint somewhere that was not
| rate limited.
| Izkata wrote:
| Totally explains this part of the current top comment here:
|
| > but much more often it feels like a 20 second section was
| used to define the original song and it misses the underlying
| concept
| qiller wrote:
| Yeah, like the linked The Medallion Calls example catches
| similarities to the slow starting section of the track and
| totally misses the main part
| FpUser wrote:
| I tried "learning to fly" by Pink Floyd. The results did not
| sound similar at all to me. Maybe I have non conventional idea on
| what is similar.
| countmora wrote:
| I've spun up Hitchin' a Ride by Green Day and I think the results
| are quite interesting. Despite them being completely different
| from one another, they somehow manage to catch the vibe of
| certain sections of the song.
|
| Here's the link: https://maroofy.com/songs/1159778217
|
| Really cool project.
| xipho wrote:
| Tried with a song I knew well- Everything In Its Right Place.
|
| Feels a little bit like fortune telling, I guess it is, in the
| sense that I am listening closely to what makes the songs
| similar, not just listening, but actively trying to find the
| similarities, so even a couple notes in progression, or drum-
| beats and I'll say oh, yes, that matches.
|
| Finds very different music, not necessarily what I'd listen to in
| many cases, but kudos for getting me clicking through a decent
| pile before going wait, that's a nope, you're grasping AI-type-
| being.
| [deleted]
| daguava wrote:
| Bad lyrics ruin songs for me, so I tend to listen to music in a
| way where I completely disregard the lyrics if they're bad, which
| causes me to like songs where the lyrics are hard to
| understand/hear or in a different language.
|
| This seems to absolutely NAIL my case of listening, I'm loving
| this. Thank you!
| vacuumcl wrote:
| I like the idea, but putting in some songs by Aphex Twin I didn't
| find the matches to be similar at all.
| azubinski wrote:
| I laughed a lot.
|
| https://maroofy.com/songs/1485025897
|
| The one of "similar-sounding" is:
|
| "Smeli Granichari Dimit'r Kolarov & Stoianka Koleva"
|
| or
|
| "The Brave Border Guards"
|
| It's a very Soviet song from such a different world that if you
| send "Man Man" to it in a time machine, the group will
| immediately end up in the Gulag.
|
| So, it's all about the "similarity" definition. But it's fun of
| course.
| ultracakebakery wrote:
| This site works great for EDM. For example, just lookup some
| random future house song and it will pump out tons of similar
| tracks. This is a great tool for people that want to keep music
| consistent in their content, but don't want it to get boring. I
| will be using this for as long as possible!
| paulkon wrote:
| Is this similar to how Shazam operates? I suppose there's more
| filtering and denoising going on with mic input.
| subtech wrote:
| Hmm, not quite. Shazam's approach is more optimized for exact
| matches. Mine tries to be more optimized for similar matches
| (if that makes sense lol).
|
| So my approach is intentionally a bit fuzzier than something
| like Shazam, since apart from exact matches, you also ideally
| want a continuous representation for music similarity (so you
| can find songs that are 80-90% similar, for example).
|
| That is hard to do for approaches optimized at exact matches
| (which usually use something like audio fingerprinting, etc.)
| jasebell wrote:
| Nice work. Are you going to write a blog post on the process.
| Would love to read it.
| kloch wrote:
| This works really well!
|
| Could you add links to play songs on Spotify?
| physPop wrote:
| Seems like your server is down or overloaded
| robbiemitchell wrote:
| This is a project I've always dreamed of building! Already pretty
| excited about some of the recommendations I'm getting in some
| niche genres.
|
| Feature request: allow me to auth Spotify and click a button next
| to each track to add a track to a "Maroofy Recs" playlist
| subtech wrote:
| Noted! A lot of people have asked for a playlist support,
| definitely shipping that soon!
| [deleted]
| jerrygoyal wrote:
| search is not working for me
| toomanyrichies wrote:
| Finding sources for input data is something I struggle with when
| building deep learning models. Out of curiosity, how did you go
| about programmatically accessing the music files for all 120M+
| songs, in order to create your embedding vector? I can't imagine
| iTunes has an API which would let a person do that.
| pbronez wrote:
| Good reminder of the value of Adversarial Interoperability
| https://www.eff.org/deeplinks/2019/10/adversarial-interopera...
| scarface74 wrote:
| If by"adversarial" you mean a publicly documented and freely
| available API that has been around in some form for two
| decades.
| lfkdev wrote:
| Probably scraped them
| from wrote:
| They do, it's just rate limited. See
| https://news.ycombinator.com/item?id=34641623
| proc0 wrote:
| Also would like to know. I can't even listen to the full songs,
| and assuming I have to pay. I can't imagine buying 120 million
| songs, so it has to be some collab with iTunes.
| exikyut wrote:
| Thinking about both processing time and the difficulty of
| sustaining 120M downloads' worth of programmatic access, I
| wouldn't be surprised if this is actually trained on the
| track previews.
| yunwal wrote:
| I'm almost positive it is. If you put in a song with a
| bunch of different styles, sections (e.g. bohemian
| rhapsody) the suggestions match the preview
| latexr wrote:
| > so it has to be some collab with iTunes.
|
| There's no way today's Apple would allow such a
| collaboration. They'd just keep the feature and market it as
| part of Apple Music.
| mustacheemperor wrote:
| This is incredible! I've gotten really into some niche genres
| this year and in trying to discover more of it I have been really
| frustrated by Spotify's limited radio mixes - it seems like I've
| been "black holed" into the same 100 or so songs with rare
| exceptions, for any of the albums I autoplay from in a given
| genre. This really might be the best music discovery tool I've
| ever used, it reminds me of how magic Pandora felt the first time
| I used it.
|
| My only request is to please let me multiselect some or all of
| the songs the algorithm finds and automatically create a playlist
| from them on Apple Music. The very first search I tried, for a
| song that Spotify always creates the same limited mix from,
| brought up a ton of music I want to check out.
|
| Edit: on that note, it would also be neat to request a combined
| playlist that mixes together multiple searches. This might help
| provide feedback for the AI as well about what artists/songs
| people consider 'similar' to each other.
| rayshan wrote:
| Interesting idea. I think it needs some finetuning to find songs
| that are similar but not covers. For well-covered songs like
| Bohemian Rhapsody, this is more like a cover-finder.
|
| Also this song, Shangri-La Is Calling, is bugging out:
| https://maroofy.com/songs/1632142336
| smcleod wrote:
| Interesting idea, I get pretty average recommendations though.
|
| The first track I searched for was "Hazmat Modine - Bahamut"
| (https://maroofy.com/songs/253108933), it seems to recommend
| things with some similar instruments (e.g. brass and sax) but not
| really similar taste or style.
| pineapple_guy wrote:
| This is cool. I'm curious how you managed to access all the music
| data from apple?
| noam_compsci wrote:
| Awesome! Curious how you got access to all the songs?! Did you
| legit pay for them all?
| thrdbndndn wrote:
| needs a volume control
| subtech wrote:
| got it
| dbcurtis wrote:
| Didn't do much for me. But I am an atypical listener -- most of
| my playlists are different recordings of the same jazz standard
| by different artists or just same artist different era.
|
| Probe 1: Birdland. First hit was the canonical Weather Report
| recording. 2nd or third was a popular Man Tran version. Then I
| saw a Maynard Ferguson track -- ok that was a discovery as I
| haven't listened to Maynard much for a few years. Didn't like his
| version much, but still your software gets full points for
| discovery.
|
| Probe 2: Minor Swing. First hit was obscure, and it linked off to
| a bunch of totally unrelated stuff. Django nowhere to be found.
| piyush_soni wrote:
| Great initiative, but if it's sampling only the few seconds
| previews from the songs, then I doubt it will be useful. Also, a
| language filter is essential for both training the model and
| listing the results. I searched for a few Hindi language songs
| that I know of, and it listed only English, Chinese and Spanish
| songs as related ones - which is good to explore other music, but
| at times I'd just want to be in my native language zone and any
| other language would exercise my brain more than it'd relax it.
| subtech wrote:
| 100% agree with a language filter, working on one (along with a
| better, improved model!)
| [deleted]
| Keith47 wrote:
| [dead]
| sesm wrote:
| I've tried 'Allan Holdsworth Sand' and 'Allan Holdsworth Non-
| brewed Condiment' and results were completely unrelated, I would
| even say random. Then I've tried 'Allan Holdsworth Sixteen Men of
| Tain' and at least it found some jazz tracks. I guess a track
| needs to have a simple static rhythm to not throw off the
| algorithm.
| philipphutterer wrote:
| The idea is just great. Keep in mind what people expect from this
| type of website (and clear up any misconceptions), as this may
| lead to unnecessary churn. I would like to see some degree of
| customizability, e.g. weighting of features or something like
| that. (Nitpick: wrap the play svgs in a button tag like the
| "similar" button)
| smortaz wrote:
| nice! is this in reference to composer javad maroofy?!
| subtech wrote:
| haha didn't expect many people to guess this!
| skc wrote:
| Wonderful idea and well designed interface.
|
| Unfortunately failed quite spectacularly for the song I selected.
| I chose "Why Hide" by Mark Ronson and it somehow managed to pick
| the exact music I tend to dislike.
| shtopointo wrote:
| Small tip: You should let it autoplay. Some recs are better than
| others and if I let it play in the background a good song will
| catch my attention.
| subtech wrote:
| Autoplay coming!
| bombela wrote:
| Everything loads instantly. Plays almost instantly. And it really
| seems to find very similar style/beat/music. Interface is clean.
|
| I am not sure if intentional, but the loading animation on the
| play buttons feels like it is in sync with when the music starts
| playing. Makes for a responsive feedback.
| yellow_lead wrote:
| Hm, maybe it's the hug of death but I can't search for any
| songs as of now. (Stuck loading)
|
| EDIT: It's working on my desktop. Above was on mobile
| Firefox/Chrome.
| [deleted]
| subtech wrote:
| Thanks! :)
|
| Let's just say that setting up the backend systems involved a
| lot of tears & frustration lmfao
| emehrkay wrote:
| What tech did you use to pull down all of this data and comb
| through it?
| madelyn wrote:
| This is FANTASTIC! There's a ton of naysayers here, but I'm going
| through songs and having a great time with this.
|
| It seems most forms of EDM work great with this setup! One funny
| thing is for heavily remixed tracks, all the remixes pop up as
| suggestions. :)
| subtech wrote:
| Thanks! <3
|
| The current model does tend to do well with EDM, but got a new
| model in the works that should hopefully address a lot of the
| shortcomings of the current one!
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