FireRedAsr

This section describes how to use models from https://github.com/FireRedTeam/FireRedASR.

Note that this model supports Chinese and English.

Hint

该模型支持普通话、及一些方言(四川话、河南话、天津话等).

We have converted FireRedASR to onnx and provided APIs for the following programming languages

• 1. C++

• 2. C

• 3. Python

• 4. C#

• 5. Go

• 6. Kotlin

• 7. Java

• 8. JavaScript (Support WebAssembly and Node)

• 9. Swift

• 10. Dart (Support Flutter)

• 11. Object Pascal

Note that you can use FireRedASR 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 FireRedASR models and use them in sherpa-onnx.

• Huggingface space
• Pre-trained Models
  • sherpa-onnx-fire-red-asr2-ctc-zh_en-int8-2026-02-25 (v2, CTC, Chinese + English, 普通话、粤语（香港和广东）、四川话、上海话、吴语、闽南话、安徽话、 福建话、甘肃话、贵州话、河北话、河南话、湖北话、湖南话、江西话、辽宁话、宁夏话、 陕西话、山西话、山东话、天津话、云南话等20多种方言)
    • Real-time/streaming speech recognition on Android
    • Download
    • Decode a file
    • Decode long files with a VAD
    • Real-time/Streaming Speech recognition from a microphone with VAD
    • Speech recognition from a microphone
    • Speech recognition from a microphone with VAD
  • sherpa-onnx-fire-red-asr2-zh_en-int8-2026-02-26 (v2, AED, Chinese + English, 普通话、粤语（香港和广东）、四川话、上海话、吴语、闽南话、安徽话、 福建话、甘肃话、贵州话、河北话、河南话、湖北话、湖南话、江西话、辽宁话、宁夏话、 陕西话、山西话、山东话、天津话、云南话等20多种方言)
    • Download
    • Decode a file
    • Decode long files with a VAD
    • Real-time/Streaming Speech recognition from a microphone with VAD
    • Speech recognition from a microphone
    • Speech recognition from a microphone with VAD
  • sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16 (v1, Chinese + English, 普通话、四川话、河南话等)
    • Download
    • Decode a file