darrenxyli/sherpa-onnx-sense-voice-funasr-nano-int8-2025-12-17
By darrenxyli · ↓ 0 · ♥ 0 · Updated 2026-02-08
What's in this repo
This page lists the files in darrenxyli/sherpa-onnx-sense-voice-funasr-nano-int8-2025-12-17, including model.int8.onnx.
- 1 ONNX models (.onnx files)
- 9 files, including 5 .wav, 1 .md, 1 .onnx, 1 .txt
- Last updated 2026-02-08
ONNX files
| File | Size | Download |
|---|---|---|
| model.int8.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
Introduction
This directory contains models converted from https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512
Core Features
From https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512
- Far-field High-noise Recognition: Deeply optimized for far-distance sound pickup and high-noise scenarios (such as conference rooms, in-vehicle environments, industrial sites, etc.), improving recognition accuracy to 93%.
- Chinese Dialects and Regional Accents:
- Supports 7 major dialects: Wu, Cantonese, Min, Hakka, Gan, Xiang, Jin
- Covers 26 regional accents: including Henan, Shaanxi, Hubei, Sichuan, Chongqing, Yunnan, Guizhou, Guangdong, Guangxi and more than 20 other regions
- Multi-language Free Speech: Supports recognition of 31 languages, with focused optimization on East and Southeast Asian languages, supporting free language switching and mixed recognition.
- Music Background Lyric Recognition: Enhanced speech recognition performance under music background interference, supporting accurate recognition of lyric content in songs.
核心特性
From https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512/blob/main/README_zh.md
- 远场高噪声识别: 针对远距离拾音及高噪声场景(如会议室、车载环境、工业现场等)进行深度优化,识别准确率提升至 **93%**。
- 中文方言与地方口音:
- 支持 7 大方言:吴语、粤语、闽语、客家话、赣语、湘语、晋语
- 覆盖 26 个地区口音:包括河南、陕西、湖北、四川、重庆、云南、贵州、广东、广西等 20 多个地区
- 多语言自由说: 支持 31 种语言识别,重点优化东亚与东南亚语种,支持语种自由切换和混合识别。
- 音乐背景歌词识别: 强化在音乐背景干扰下的语音识别性能,支持对歌曲中歌词内容的精准识别。
Files (9)
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