stepfun-ai / Step-Audio-Tokenizer

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Introduction of Step-Audio-Tokenizer

Model Details of Step-Audio-Tokenizer

Step-Audio-Tokenizer

Step-Audio LLM is the industry’s first 130-billion parameter hu-manlike unified end-to-end model that integrates multimodal speech un-derstanding and generation capabilities, including singing voice synthesis, tool utilization, role-play and multilingual/dialectal comprehension and synthesis.

This repository provides the speech tokenizer component of Step-Audio LLM. For linguistic tokenization, we utilize the output from the Paraformer encoder, which is quantized into discrete representations at a token rate of 16.7 Hz. For semantic tokenization, we employ CosyVoice’s tokenizer, specifically designed to efficiently encode features essential for generating natural and expressive speech outputs, operating at a token rate of 25 Hz.

More information

For more information, please refer to our repository: Step-Audio .

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Step-Audio-Tokenizer huggingface.co is an AI model on huggingface.co that provides Step-Audio-Tokenizer's model effect (), which can be used instantly with this stepfun-ai Step-Audio-Tokenizer model. huggingface.co supports a free trial of the Step-Audio-Tokenizer model, and also provides paid use of the Step-Audio-Tokenizer. Support call Step-Audio-Tokenizer model through api, including Node.js, Python, http.

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Step-Audio-Tokenizer is an open source model from GitHub that offers a free installation service, and any user can find Step-Audio-Tokenizer on GitHub to install. At the same time, huggingface.co provides the effect of Step-Audio-Tokenizer install, users can directly use Step-Audio-Tokenizer installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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