MOSS-Audio-Tokenizer

MOSS-Audio-Tokenizer

OpenMOSS

MOSS-Audio-Tokenizer is a Causal Transformer-based audio tokenizer built on the CAT architecture. Trained on 3M hours of diverse audio, it supports streaming and variable bitrates, delivering SOTA reconstruction and strong performance in generation and understanding—serving as a unified interface for next-generation native audio language models.

179 Stars
11 Forks
179 Watchers
Python Language
apache-2.0 License
100 SrcLog Score
Cost to Build
$122.1K
Market Value
$396.8K

Growth over time

1 data points  ·  2026-04-08 → 2026-04-08
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What is the OpenMOSS/MOSS-Audio-Tokenizer GitHub project? Description: "MOSS-Audio-Tokenizer is a Causal Transformer-based audio tokenizer built on the CAT architecture. Trained on 3M hours of diverse audio, it supports streaming and variable bitrates, delivering SOTA reconstruction and strong performance in generation and understanding—serving as a unified interface for next-generation native audio language models.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone MOSS-Audio-Tokenizer

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git clone https://github.com/OpenMOSS/MOSS-Audio-Tokenizer.git

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[email protected]:OpenMOSS/MOSS-Audio-Tokenizer.git

Download ZIP

Download master.zip

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