A unified tokenizer that is capable of both extracting semantic information and enabling high-fidelity audio reconstruction.

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

Reverse Engineering of Supervised Semantic Speech Tokenizer (S3Tokenizer) proposed in CosyVoice

Production First and Production Ready End-to-End Speech Recognition Toolkit

Code for class Big Data System

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.