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stepfun-ai/Step-Audio-Tokenizer

By stepfun-ai · ↓ 0 · ♥ 53 · Updated 2025-02-18

What's in this repo

This page lists the files in stepfun-ai/Step-Audio-Tokenizer, including speech_tokenizer_v1.onnx.

  • 1 ONNX models (.onnx files)
  • 19 files, including 3 .wav, 2 .md, 2 .json, 1 .mvn, 1 .yaml, 1 .pt
  • Last updated 2025-02-18

ONNX files

File Size Download
speech_tokenizer_v1.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

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.

Model info

onnx license:apache-2.0 region:us
↓ 0 ♥ 53

Created: 2025-02-13

Updated: 2025-02-18

View on Hugging Face

Files (19)

.gitattributes
README.md
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/.mdl
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/.msc
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/.mv
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/README.md
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/am.mvn
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/config.yaml
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/configuration.json
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/example/asr_example.wav
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/example/asr_example_普通话.wav
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/example/asr_example_粤语.wav
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/model.pt
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/seg_dict
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/tokens.json
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/tokens.txt
dengcunqin/speech_paraformer-large_asr_nat-zh-cantonese-en-16k-vocab8501-online/write_tokens_from_txt.py
linguistic_tokenizer.npy
speech_tokenizer_v1.onnx ONNX

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