🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

GUI for a Vocal Remover that uses Deep Neural Networks.

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

A PyTorch-based Speech Toolkit

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Code for the paper "Jukebox: A Generative Model for Music"

Python library for audio and music analysis

Automagically synchronize subtitles with video.

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

Picard is a cross-platform music tagger powered by the MusicBrainz database

A lightweight yet powerful audio-to-MIDI converter with pitch bend detection

Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

Stable diffusion for real-time music generation

Auto-Editor: Efficient media analysis and rendering

Noise supression using deep filtering

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

Data manipulation and transformation for audio signal processing, powered by PyTorch

Cast macOS and Linux Audio/Video to your Google Cast and Sonos Devices