awesome-speech-enhancement
github.com/nanahou/awesome-speech-enhancement ↗A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me coming soon... resources from awesome-speech-enhancement"
Installation instructions →What's inside
Datasets
Tools
- audiomentations
A Python library for audio data augmentation, e.g. time stretch, pitch shift, add noise, add room reverberation
- Beamformer
Implementation of the mask-based adaptive beamformer (MVDR, GEVD, MCWF).
- Data format
Format tranform between Kaldi, Numpy and Matlab.
- Data simulation
Add reverberation, noise or mix speaker.
- gpuRIR
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
- LPS
Extract log-power-spectrum/magnitude spectrum/log-magnitude spectrum/Cepstral mean and variance normalization.
SOTA results
Applications
Publications
Showing a sample of 88 resources. View the full list on GitHub →