Audio Tools

Audio Tools

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KKNet
KKNet
An implementation of "Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction", in ISMIR 2023 - SmoothKen/KKNet
·github.com·
KKNet
RT-MIR-OSC
RT-MIR-OSC
Audio input -> real-time analysis -> OSC output. Takes in real-time audio, does feature extraction using smart algorithms then sends out OSC to be used in other programs. - sideeffectdk/RT-MI...
·github.com·
RT-MIR-OSC
pypianoroll
pypianoroll
A toolkit for working with piano rolls. Contribute to salu133445/pypianoroll development by creating an account on GitHub.
·github.com·
pypianoroll
arranger
arranger
Official Implementation of "Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music" (ISMIR 2021)
·github.com·
arranger
Vocal-Melody-Extraction
Vocal-Melody-Extraction
Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning". - s603122001/Vocal-Melody-Extraction
·github.com·
Vocal-Melody-Extraction
GitHub s603122001MusicSourceSeparation A Pytorch implementation of Denoising Autoencoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
GitHub s603122001MusicSourceSeparation A Pytorch implementation of Denoising Autoencoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
A Pytorch implementation of Denoising Autoencoder with Recurrent Skip Connections and Residual Regression for Music Source Separation s603122001MusicSourceSeparation
·github.com·
GitHub s603122001MusicSourceSeparation A Pytorch implementation of Denoising Autoencoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
feelskunaman
feelskunaman
A tool for visualizing emotions in music using a Python wrapper for Spotify API. Independent post-baccalaureate research by Nick Stapleton. For Kunaveer, a friend.
·github.com·
feelskunaman
GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo
·github.com·
GitHub mjhydriSingingVocalBeatTracking This repo contains the source code of the first deep learningbase singing voice beat tracking system It leverages WavLM and DistilHuBERT pretrained speech models to create vocal embeddings and trains linear multihead selfattention layers on top of them to extract vocal beat activations Then it uses HMM decoder to infer signing beats and tempo