SenseVoiceSmall ONNX (INT8 Quantized)
This is a mirror of iic/SenseVoiceSmall-onnx from ModelScope, redistributed here for convenient access via HuggingFace.
Model Description
SenseVoiceSmall is a multilingual speech understanding model from Alibaba DAMO Academy (FunAudioLLM), supporting:
- Automatic Speech Recognition (ASR) for Chinese, English, Cantonese, Japanese, and Korean
- Speech Emotion Recognition (SER)
- Audio Event Detection (AED)
- Inverse Text Normalization (ITN)
This repository contains the INT8 quantized ONNX export (~230 MB), suitable for efficient CPU inference via onnxruntime.
Files
| File | Size | Description |
|---|---|---|
model_quant.onnx |
~230 MB | INT8 quantized ONNX model |
am.mvn |
11 KB | CMVN (mean/variance normalization) statistics |
config.yaml |
1.8 KB | Model & frontend configuration |
tokens.json |
344 KB | Token vocabulary |
configuration.json |
56 B | Framework metadata |
Usage
This model is designed to be used with onnxruntime + kaldi-native-fbank + sentencepiece for lightweight inference without the full FunASR/PyTorch stack.
Source & License
- Original model: iic/SenseVoiceSmall (FunAudioLLM/Alibaba DAMO Academy)
- ONNX export source: iic/SenseVoiceSmall-onnx
- License: Apache-2.0
Citation
@inproceedings{an2024funaudiollm,
author={An, Keyu and others},
title={FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs},
year={2024},
}