Popular GitHub Repositories for Sound Processing

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts

Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

Karaoke Player / Editor with automatic clip creation from any song file using vocals and lyrics extraction (Speech-to-Text)

Design new algorithmic patterns to generate music samples or build drum machines and on top of it, build user-friendly and beautiful UIs to make the music tools available outside music environments and DAWs.

Sound Classification using Neural Networks

This project use PANNs for audio tagging and sound event detection, and finally get audio embeddings. Then Milvus is used to search the similarity audio items.

This Reposatory include the audio augmentation with Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

This project uses Acoular to implement an acoustic camera for the miniDSP UMA-16 microphone array, with optional integration of transformer model results for enhanced audio analysis.

This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.