awesome-sound-source-localization
github.com/fyjneverfollows/awesome-sound-source-localization ↗A tutorial for Sound Source Localization researchers and practitioners. The purpose of this repo is to organize the world’s resources for Sound Source Localization, 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 ssl+ resources from awesome-sound-source-localization"
Installation instructions →What's inside
Tools
- 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.
- GCC & GCC-Fbank
Python code to extract features: GCC coefficients and GCCFB.
- 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.
Showing a sample of 47 resources. View the full list on GitHub →