[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling
Use WavTokenizer to convert audio into a format suitable for language processing tasks.
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WavTokenizer has 1.3k stars on GitHub. It has been forked 113 times. WavTokenizer is written mainly in Python. It has been in active development since 2024. WavTokenizer is available under the MIT license. Its main topics are acoustic, audio-representation, codec, dac.
[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling
WavTokenizer is an open-source project. It is released under the MIT license.
Yes. WavTokenizer is free and open source — you can use, modify and self-host it.
WavTokenizer is available under the MIT license.
WavTokenizer is written mainly in Python.
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