f90 / AdversarialAudioSeparationLinks
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
☆84Updated 6 years ago
Alternatives and similar repositories for AdversarialAudioSeparation
Users that are interested in AdversarialAudioSeparation are comparing it to the libraries listed below
Sorting:
- SiSEC MUS 2018 Submission System☆43Updated 5 years ago
- PyTorch code to separate instruments from music using a low-latency neural network☆45Updated 6 years ago
- ☆47Updated 7 years ago
- Parse and process the demixing secrets dataset (DSD100)☆49Updated 7 years ago
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation☆140Updated last year
- TiFGAN: Time Frequency Generative Adversarial Networks☆120Updated 2 years ago
- Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks☆62Updated 7 years ago
- Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"☆59Updated 2 years ago
- Vocode spectrograms to audio with generative adversarial networks☆63Updated 6 years ago
- Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook☆67Updated 2 years ago
- spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io☆51Updated 2 months ago
- Control mechanisms to the U-Net architecture for doing multiple source separation instruments☆54Updated 5 years ago
- ☆75Updated 5 years ago
- WaveNet for the separation of audio sources☆47Updated 6 years ago
- ☆16Updated 6 years ago
- The code for the MaD TwinNet. Demo page:☆111Updated 2 years ago
- A simplified PyTorch implementation of GANsynth☆81Updated 5 years ago
- Companion code for ISMIR 2017 paper "Deep Salience Representations for $F_0$ Estimation in Polyphonic Music"☆93Updated 5 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
- PyTorch reimplementation of WaveGAN☆57Updated 3 years ago
- ☆37Updated 6 years ago
- ☆24Updated 6 years ago
- Multiple Instance Learning for Sound Event Detection☆34Updated 7 years ago
- audio processing module for pytorch:stft, istft☆36Updated 6 years ago
- Crowdsourced Audio Quality Evaluation Toolkit☆55Updated 2 years ago
- Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation☆49Updated 6 years ago
- Pytorch Implementation of FFTNet☆86Updated 7 years ago
- Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder☆38Updated 8 months ago
- A TensorFlow implementation of Griffin-Lim algorithm☆79Updated 7 years ago