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Dismiss alert {{ message }} TuneNN / TuneNN Public * Notifications * Fork 1 * Star 76 A transformer-based network model for pitch detection aifasttune.com 76 stars 1 fork Activity Star Notifications * Code * Issues 0 * Pull requests 0 * Actions * Projects 0 * Security * Insights Additional navigation options * Code * Issues * Pull requests * Actions * Projects * Security * Insights TuneNN/TuneNN This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. main Switch branches/tags [ ] Branches Tags Could not load branches Nothing to show {{ refName }} default View all branches Could not load tags Nothing to show {{ refName }} default View all tags Name already in use A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch? Cancel Create 1 branch 0 tags Code * Local * Codespaces * Clone HTTPS GitHub CLI [https://github.com/T] Use Git or checkout with SVN using the web URL. [gh repo clone TuneNN] Work fast with our official CLI. Learn more about the CLI. * Open with GitHub Desktop * Download ZIP Sign In Required Please sign in to use Codespaces. Launching GitHub Desktop If nothing happens, download GitHub Desktop and try again. Launching GitHub Desktop If nothing happens, download GitHub Desktop and try again. Launching Xcode If nothing happens, download Xcode and try again. Launching Visual Studio Code Your codespace will open once ready. There was a problem preparing your codespace, please try again. Latest commit @liufeigit liufeigit Update README.md ... 1e48076 Dec 19, 2023 Update README.md 1e48076 Git stats * 4 commits Files Permalink Failed to load latest commit information. Type Name Latest commit message Commit time image Update. December 19, 2023 20:20 python Init project. December 19, 2023 12:08 README.md Update README.md December 19, 2023 20:21 View code README.md TuneNN A transformer-based network model, pitch tracking for musical instruments. The timbre of musical notes is the result of various combinations and transformations of harmonic relationships, harmonic strengths and weaknesses, instrument resonant peaks, and structural resonant peaks over time. The online experience based on web audio and tensorflow.js, See the site here [tnn] * STFT spectrum, the most primitive spectrum, can accurately reflect the harmonic relationships and strengths of harmonics in musical notes. * Bark spectrum, more accurate than Mel spectrum in accordance with psychoacoustic perception of the human ear, is a nonlinear compression of the STFT spectrum. It belongs to a psychoacoustic abstraction feature that focuses on the harmonic relationships and strengths. * Cepstrum, the envelope characteristics of instrument resonant peaks. * CQHC, MFCC features are designed to address pitch variations in speech. Based on CQT, CQCC can better reflect instrument resonant peaks and structural resonant peaks, while CQHC, using a deconvolution approach, yields more prominent results compared to CQCC. 1D value and 2D time transformer processed with sliding adjacent windows. [value] [time] Specific feature extraction can be referred to in featureExtract.py, and the model structure can be referred to in tuneNN.py. It utilizes the transformer-based tuneNN network model for abstract timbre modeling, supporting tuning for 12+ instrument types. open in online experience [fasttune] About A transformer-based network model for pitch detection aifasttune.com Topics audio music machine-learning pitch-detection pitch-estimation Resources Readme Activity Stars 76 stars Watchers 1 watching Forks 1 fork Report repository Releases No releases published Packages 0 No packages published Languages * Python 100.0% Footer (c) 2023 GitHub, Inc. Footer navigation * Terms * Privacy * Security * Status * Docs * Contact * You can't perform that action at this time.