k2-fsa/icefall

End-to-End Speech Processing Toolkit

Facebook AI Research's Automatic Speech Recognition Toolkit

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

A PyTorch-based Speech Toolkit

Kyutai's Speech-To-Text and Text-To-Speech models based on the Delayed Streams Modeling framework.

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.