[HN Gopher] Optical microphone can separate multiple instruments...
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       Optical microphone can separate multiple instruments from afar
        
       Author : sohkamyung
       Score  : 72 points
       Date   : 2022-06-27 05:58 UTC (1 days ago)
        
 (HTM) web link (newatlas.com)
 (TXT) w3m dump (newatlas.com)
        
       | orbital-decay wrote:
       | Incredible separation, I don't think it's attainable by any other
       | means. Should be super useful for speech in noisy environments.
       | 
       | I have a question though, is capturing lateral movements of a
       | single spot on the instrument enough to represent how it sounds
       | for a human ear? I think it's equivalent to a polarizer filter as
       | it doesn't seem to be capturing depth axis vibrations.
        
         | jcims wrote:
         | These example audio at the bottom. Seems the answer is no. But
         | you could potentially use it as a means to isolate the sound
         | from the recorded audio. You would have to synchronize the
         | phases though because the optical speed of sound is c.
        
         | infogulch wrote:
         | > it doesn't seem to be capturing depth axis vibrations
         | 
         | Good point, the paper mentions x-axis and y-axis, but doesn't
         | mention z-axis. Maybe depth vibrations could be resolved as
         | changes to the interference pattern?
        
           | pbhjpbhj wrote:
           | Do human ears resolve sound in more than one dimension? I've
           | always considered that, per ear, we only get a sequence of
           | compressions and rarefactions on the ear drum, that other
           | aspects of hearing are through combination or 'cheating'
           | (skin sensitivity and such). So, would it matter?
        
       | macgyverismo wrote:
       | I love the creative use of the rolling shutter, instead of seeing
       | it as a downside, they turned the line-by-line nature of the
       | sensor into sample rate multiplier.
        
       | yodon wrote:
       | Is technique this significantly different from the laser
       | microphones[0] that intelligence services have been using for
       | many decades?
       | 
       | [0]https://en.m.wikipedia.org/wiki/Laser_microphone
        
         | medler wrote:
         | It builds on the technology behind laser microphones. According
         | to the paper, visual vibrometry has historically required
         | expensive cameras, and their method removes this need and
         | appears to have other advantages over using a high-speed
         | camera. They say they contribute "a novel method for sensing
         | vibrations at high speeds (up to 63kHz), for multiple scene
         | sources at once, using sensors rated for only 130Hz operation.
         | Our method relies on simultaneously capturing the scene with
         | two cameras equipped with rolling and global shutter sensors,
         | respectively."
        
       | klabb3 wrote:
       | Combined with sophisticated noise cancelation and other
       | relatively mature tech, this could make intentional focus
       | listening possible, analogous to looking _at_ something, as well
       | as closing your eyelids, but for hearing.
       | 
       | Imagine being able to shut off specific ambient noises (and
       | sometimes.. people) without losing spatial awareness. Or tune in
       | a source you're paying attention to (the cocktail party problem).
       | 
       | The issue with super-hearing would be to re-adjust expectations
       | of who can reasonably hear us. Could be used for creepy things,
       | obviously..
        
       | iguana_lawyer wrote:
       | Could an optical microphone be used to identify materials using
       | resonance frequencies?
        
       | wanderingstan wrote:
       | This tech could be applicable to ticketing loud vehicles, as
       | discussed here earlier this year:
       | https://news.ycombinator.com/item?id=30364669
        
       | anfractuosity wrote:
       | Ooh that's really cool that they're using the laser speckle
       | pattern. I like the fact they exploit the rolling shutter too.
       | Something which https://people.csail.mit.edu/mrub/VisualMic/ also
       | does.
       | 
       | There are devices which are called laser doppler vibrometers,
       | which might also be able to do this by pointing at the
       | strings/base of the guitar?
       | 
       | There do seem to be videos of laser doppler vibrometers being
       | used with guitars on youtube, but I'm not sure if the soundtrack
       | that goes along with them is just from a normal mic.
       | 
       | I had a little play with laser speckle patterns to detect
       | keypresses, as they can help find very subtle changes to a
       | surface - https://www.anfractuosity.com/projects/fun-with-
       | speckle-patt... (by 'diffing' the patterns)
        
       | anigbrowl wrote:
       | I've been doing pro audio stuff or 25 years and this is a
       | landmark paper, biggest breakthrough I've seen in years. I'm
       | _astonished_ at the quality of extracted signals. Biggest thing I
       | 've seen since deconvolution became good enough for realtime or
       | near-realtime adaptive noise reduction.
        
         | de6u99er wrote:
         | I hope this can be used to objectively distinguish between real
         | audiophile equipment and audiophile snake oil.
        
           | capableweb wrote:
           | Then please read the submitted article, the press release
           | (https://www.cs.cmu.edu/news/2022/optical-microphone) or the
           | paper itself (https://www.marksheinin.com/_files/ugd/a41a28_7
           | d370603fafd41...) again, as it has nothing to do with audio
           | quality.
        
       | TheHideout wrote:
       | This seems like an interesting optical solution to the "cocktail
       | party problem", which can be solved using Independent Component
       | Analysis [0]
       | 
       | [0] https://en.wikipedia.org/wiki/Independent_component_analysis
        
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       (page generated 2022-06-28 23:00 UTC)