AppleHolic/source_separation
Deep learning based speech source separation using Pytorch
319 stars. No commits in the last 6 months.
Stars
319
Forks
47
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 20, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AppleHolic/source_separation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
iver56/audiomentations
A Python library for audio data augmentation. Useful for making audio ML models work well in the...
marl/openl3
OpenL3: Open-source deep audio and image embeddings
ductho-le/WaveDL
A Scalable Deep Learning Framework for Wave-Based Inverse Problems
Spijkervet/torchaudio-augmentations
Audio transformations library for PyTorch
torchsynth/torchsynth
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.