Qwen3-ASR

This section describes how to use models from https://github.com/QwenLM/Qwen3-ASR.

Qwen3-ASR-0.6B

A single model from Qwen3-ASR supports the following languages:

  • Chinese (zh), English (en), Cantonese (yue), Arabic (ar), German (de)

  • French (fr), Spanish (es), Portuguese (pt), Indonesian (id)

  • Italian (it), Korean (ko), Russian (ru), Thai (th)

  • Vietnamese (vi), Japanese (ja), Turkish (tr), Hindi (hi)

  • Malay (ms), Dutch (nl), Swedish (sv), Danish (da), Finnish (fi)

  • Polish (pl), Czech (cs), Filipino (fil), Persian (fa), Greek (el)

  • Hungarian (hu), Macedonian (mk), Romanian (ro)

It also supports the following Chinese dialects:

  • Anhui, Dongbei, Fujian, Gansu, Guizhou, Hebei, Henan, Hubei, Hunan

  • Jiangxi, Ningxia, Shandong, Shaanxi, Shanxi, Sichuan, Tianjin, Yunnan

  • Zhejiang, Cantonese (Hong Kong accent), Cantonese (Guangdong accent)

  • Wu language, Minnan language.

Hint

支持的语言有:

  • 中文， 英语，粤语，阿拉伯语，德语，法语，西班牙语

  • 葡萄牙语，印尼语，意大利语，韩语，俄语，泰语，越南语

  • 日语，土耳其语，印地语，马来语，荷兰语，瑞典语，丹麦语

  • 芬兰语，波兰语，捷克语，菲律宾语，波斯语，希腊语，匈牙利语

  • 马其顿语，罗马尼亚语

支持的中文方言有:

  • 安徽，东北，福建，甘肃，贵州，河北，河南，湖北，湖南，江西

  • 宁夏，山东，山西，陕西，四川，天津，云南，浙江，粤语（香港口音）

  • 粤语（广东口音）, 吴语, 闽南语

此外还支持歌词识别和说唱语音识别。

We have converted Qwen3-ASR to onnx and provided APIs for the following programming languages

    1. C++

    1. C

    1. Python

    1. C#

    1. Go

    1. Kotlin

    1. Java

    1. JavaScript

    1. Swift

    1. Dart (Support Flutter)

    1. Rust

    1. Pascal

You can find the onnx export script at https://github.com/Wasser1462/Qwen3-ASR-onnx

Note that you can use Qwen3-ASR with sherpa-onnx on the following platforms:

  • Linux (x64, aarch64, arm, riscv64)

  • macOS (x64, arm64)

  • Windows (x64, x86, arm64)

  • Android (arm64-v8a, armv7-eabi, x86, x86_64)

  • iOS (arm64)

In the following, we describe how to download pre-trained Qwen3-ASR models and use them in sherpa-onnx.