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Whisper ASR — Speech-to-Text
作者
vincentlau2046-sudo
· GitHub ↗
· v1.2.0
· MIT-0
73
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install asr-funasr
功能描述
Automatic Speech Recognition using OpenAI Whisper (local GPU). Supports Chinese, English, and 90+ languages. Auto-detects language.
使用说明 (SKILL.md)
ASR — Speech-to-Text (FunASR + Whisper)
Two engines for different scenarios:
| Engine | Best For | Chinese Quality | Speed |
|---|---|---|---|
| FunASR SenseVoice (default) | Chinese, Japanese, Korean | ⭐⭐⭐ 简体 | Fast (0.03 RTF) |
| OpenAI Whisper | Multilingual, translation | ⭐⭐ (繁体) | Slower |
Quick Start
# Default: FunASR SenseVoice (best Chinese)
{baseDir}/scripts/asr.py --input audio.mp3
# Whisper for multilingual / translation
{baseDir}/scripts/asr.py --input audio.mp3 --engine whisper
Options
| Option | Default | Description |
|---|---|---|
--input |
(required) | Input audio file (mp3, wav, m4a, etc.) |
--engine |
funasr | ASR engine: funasr (SenseVoice) or whisper |
--language |
auto | Language code: zh, en, ja, ko, etc. (auto-detect if omitted) |
--model |
base | Whisper model size: tiny/base/small/medium/large (whisper only) |
--task |
transcribe | transcribe or translate (whisper only) |
--output |
Write transcript to file (default: stdout) |
Engine Details
FunASR SenseVoice-Small (Default)
- Model:
iic/SenseVoiceSmall(893MB, auto-downloaded from ModelScope) - Strengths: 简体中文最佳、情感识别、语音事件检测、速度极快
- Output: 简体中文，自动去除特殊标记
- Languages: zh, en, ja, ko, yue (Cantonese)
OpenAI Whisper
- Model: base (139MB, auto-downloaded)
- Strengths: 90+ languages、翻译模式、多语言场景
- Output: 中文输出繁体字（已知问题，换 small 模型可改善）
- Whisper model sizes:
| Model | VRAM | Speed | Accuracy |
|---|---|---|---|
| tiny | ~1GB | Fastest | Low |
| base | ~1GB | Fast | OK |
| small | ~2GB | Medium | Good |
| medium | ~5GB | Slow | Better |
| large | ~10GB | Slowest | Best |
Examples
# Chinese audio → FunASR (default, best quality)
{baseDir}/scripts/asr.py --input meeting.mp3
# Force Chinese language
{baseDir}/scripts/asr.py --input podcast.wav --language zh
# Multilingual audio → Whisper
{baseDir}/scripts/asr.py --input mixed.wav --engine whisper
# Whisper with better model
{baseDir}/scripts/asr.py --input lecture.mp3 --engine whisper --model small
# Translate Chinese speech to English text
{baseDir}/scripts/asr.py --input speech.mp3 --engine whisper --language zh --task translate
# Save transcript to file
{baseDir}/scripts/asr.py --input audio.wav --output transcript.txt
Dependencies
funasr+modelscope(FunASR engine)openai-whisper(Whisper engine)imageio-ffmpeg(bundled ffmpeg binary)- First run downloads model weights (auto-cached in
~/.cache/)
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install asr-funasr - 安装完成后，直接呼叫该 Skill 的名称或使用
/asr-funasr触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.2.0
Add FunASR SenseVoice engine (default), better Chinese support (简体), emotion/speech event detection
v1.1.0
Add imageio-ffmpeg bundled binary, add comfyui-venv path for whisper
v1.0.0
Whisper ASR skill: local GPU transcription, 90+ languages, auto-detect
元数据
常见问题
Whisper ASR — Speech-to-Text 是什么？
Automatic Speech Recognition using OpenAI Whisper (local GPU). Supports Chinese, English, and 90+ languages. Auto-detects language. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 73 次。
如何安装 Whisper ASR — Speech-to-Text？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install asr-funasr」即可一键安装，无需额外配置。
Whisper ASR — Speech-to-Text 是免费的吗？
是的，Whisper ASR — Speech-to-Text 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Whisper ASR — Speech-to-Text 支持哪些平台？
Whisper ASR — Speech-to-Text 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Whisper ASR — Speech-to-Text？
由 vincentlau2046-sudo（@vincentlau2046-sudo）开发并维护，当前版本 v1.2.0。
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