OpenClaw

voice-recognition

Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.

gykdly0 来源安装数☆ 0 仓库 Starsv1.0.0

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install gykdly/voice-recognition

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Voice Recognition (Whisper)

Local speech-to-text with OpenAI Whisper CLI.

Features

Local processing - No API key needed, free
Multi-language - Chinese, English, 100+ languages
Translation - Translate to English
Summarization - Generate quick summary

Usage

Basic

# Chinese recognition
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a

# Force Chinese
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --zh

# English recognition  
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --en

# Translate to English
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --translate

# With summary
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --summarize

Quick Command (add to ~/.zshrc)

alias voice="python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py"

Then use:

voice ~/Downloads/audio.m4a --zh

Requirements

OpenAI Whisper CLI: brew install openai-whisper
Python 3.10+

Files

scripts/voice识别_升级版.py - Main script
scripts/voice_tool_README.md - Documentation

Supported Formats

MP3, M4A, WAV, OGG, FLAC, WebM

Language Support

100+ languages including:

Chinese (zh)
English (en)
Japanese (ja)
Korean (ko)
And more...

Notes

Default model: medium (balance of speed and accuracy)
First run downloads model to ~/.cache/whisper
Processing time varies by audio length and model size

来源信息

Source: github
Repository: openclaw/skills
Path: skills/gykdly/voice-recognition
Version: 1.0.0
Commit: 6876d5f184b5c3eb8679e4747aa8b06eff06f471
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Voice Recognition (Whisper)

Local speech-to-text with OpenAI Whisper CLI.

## Features

- **Local processing** - No API key needed, free
- **Multi-language** - Chinese, English, 100+ languages
- **Translation** - Translate to English
- **Summarization** - Generate quick summary

## Usage

### Basic

```bash
# Chinese recognition
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a

# Force Chinese
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --zh

# English recognition  
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --en

# Translate to English
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --translate

# With summary
python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py audio.m4a --summarize
```

### Quick Command (add to ~/.zshrc)

```bash
alias voice="python3 /Users/liyi/.openclaw/workspace/scripts/voice识别_升级版.py"
```

Then use:

```bash
voice ~/Downloads/audio.m4a --zh
```

## Requirements

- OpenAI Whisper CLI: `brew install openai-whisper`
- Python 3.10+

## Files

- `scripts/voice识别_升级版.py` - Main script
- `scripts/voice_tool_README.md` - Documentation

## Supported Formats

- MP3, M4A, WAV, OGG, FLAC, WebM

## Language Support

100+ languages including:
- Chinese (zh)
- English (en)
- Japanese (ja)
- Korean (ko)
- And more...

## Notes

- Default model: `medium` (balance of speed and accuracy)
- First run downloads model to `~/.cache/whisper`
- Processing time varies by audio length and model size

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