asteroid
Conv-TasNet
| asteroid | Conv-TasNet | |
|---|---|---|
| 2 | 2 | |
| 2,118 | 632 | |
| 2.0% | - | |
| 5.5 | 1.3 | |
| 28 days ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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asteroid
- Speech separation
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[D] Is it possible to extract certain sounds from a mixture of sounds and noise
Here is a link to a tutorial about that will teach you everything you need to know about source separation, from data, to losses, to commonly used model architectures. That tutorial is built around the nussl source separation library, but some other nice ones exist as well, such as asteroid.
Conv-TasNet
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Conv-tasnet
The makefile in question is here: https://github.com/kaituoxu/Conv-TasNet/blob/master/tools/Makefile
What are some alternatives?
nussl - A flexible source separation library in Python
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Speech-Separation-Paper-Tutorial - A must-read paper for speech separation based on neural networks
espnet - End-to-End Speech Processing Toolkit
mmf - A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
voicefilter - Unofficial PyTorch implementation of Google AI's VoiceFilter system
mayavoz - Pytorch based speech enhancement toolkit.
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.