SConsul / audio-source-separationLinks
PyTorch code to separate instruments from music using a low-latency neural network
☆45Updated 6 years ago
Alternatives and similar repositories for audio-source-separation
Users that are interested in audio-source-separation are comparing it to the libraries listed below
Sorting:
- Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"☆84Updated 6 years ago
- SiSEC MUS 2018 Submission System☆43Updated 5 years ago
- Control mechanisms to the U-Net architecture for doing multiple source separation instruments☆54Updated 5 years ago
- WaveNet for the separation of audio sources☆47Updated 6 years ago
- ☆47Updated 7 years ago
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- ☆37Updated 6 years ago
- ☆24Updated 6 years ago
- Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmenta…☆55Updated 3 years ago
- Crowdsourced Audio Quality Evaluation Toolkit☆55Updated 2 years ago
- Demucs Lightning: A PyTorch lightning version of Demucs with Hydra and Tensorboard features☆85Updated 2 years ago
- A complete training recipe for kaldi-based Automatic Lyrics Transcription.☆31Updated 3 years ago
- Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook☆67Updated 2 years ago
- Tensorflow code for training deep convolutional neural networks for music audio tagging☆49Updated 2 years ago
- A small framework for conducting Melody Extraction experiments. We used this framework to improve the state-of-the-art using a custom con…☆43Updated 2 years ago
- Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks☆62Updated 7 years ago
- Unsupervised Representation Learning for Singing Voice Separation☆22Updated 2 years ago
- python pYIN☆90Updated 9 years ago
- A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-base…☆80Updated 3 years ago
- spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io☆51Updated 2 months ago
- Companion code for ISMIR 2017 paper "Deep Salience Representations for $F_0$ Estimation in Polyphonic Music"☆93Updated 5 years ago
- acoss: Audio Cover Song Suite is a framework for feature extraction and benchmarking for the cover song identification (CSI) task☆39Updated 2 years ago
- A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation☆140Updated last year
- Parse and process the demixing secrets dataset (DSD100)☆49Updated 7 years ago
- Painless Wiener filters for audio separation☆187Updated 3 years ago
- Experiments for Invariances and Data Augmentation for Supervised Music Transcription☆31Updated 5 years ago
- The code for the ISMIR 2019 paper “Supervised symbolic music style translation using synthetic data”.☆27Updated 2 years ago
- Vocode spectrograms to audio with generative adversarial networks☆63Updated 6 years ago
- The source code of "A Streamlined Encoder/Decoder Architecture for Melody Extraction"☆73Updated 5 years ago
- Streaming source separation for music and speech files, using the Open-Unmix LSTM architecture.☆19Updated 2 years ago