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Recognize songs by singing or audio file using iFlytek's Query By ACRCloud technology.
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 dzy-1026/xfyun-song-rec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。
Recognize songs by singing, or audio file using iFlytek's advanced Query By ACRCloud technology.
Designed for music identification, song discovery, and audio recognition scenarios.
Using audio file path:
python {baseDir}/scripts/index.py "<audio_path>"
Examples:
python {baseDir}/scripts/index.py "humming.wav"
Required:
export XF_SONG_APP_ID=your_app_id
export XF_SONG_API_KEY=your_api_key
export XF_SONG_API_SECRET=your_api_secret
Or configure it in ~/.openclaw/openclaw.json:
{
"env": {
"XF_SONG_APP_ID": "your_app_id",
"XF_SONG_API_KEY": "your_api_key",
"XF_SONG_API_SECRET": "your_api_secret"
}
}
Returns JSON response with:
Future enhancements may include:
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。
# 🎵 Song Recognition
Recognize songs by singing, or audio file using iFlytek's advanced Query By ACRCloud technology.
Designed for music identification, song discovery, and audio recognition scenarios.
---
## ✨ Features
- Singing recognition
- Audio file recognition
- High-accuracy song matching
- Real-time synchronous detection
- Multiple audio format support
- URL and file path input support
---
## 🚀 Usage
**Using audio file path:**
```bash
python {baseDir}/scripts/index.py "<audio_path>"
```
Examples:
```
python {baseDir}/scripts/index.py "humming.wav"
```
## 📋 Input Specification
### Audio Requirements
- Supported formats: MP3
- Sample rate: 16000Hz
- Audio encoding: lame
- Duration: 5-30 seconds recommended
- singing melody
---
## ⚠ Constraints
- Audio must contain clear melody
- API credentials must be configured
- Network connection required
- Synchronous processing - instant results
- Audio quality affects recognition accuracy
---
## 🔧 Environment Setup
Required:
- Python available in PATH
- Environment variables configured:
```bash
export XF_SONG_APP_ID=your_app_id
export XF_SONG_API_KEY=your_api_key
export XF_SONG_API_SECRET=your_api_secret
```
Or configure it in `~/.openclaw/openclaw.json`:
```json
{
"env": {
"XF_SONG_APP_ID": "your_app_id",
"XF_SONG_API_KEY": "your_api_key",
"XF_SONG_API_SECRET": "your_api_secret"
}
}
```
---
## 📦 Output
Returns JSON response with:
- Song name
- Artist name
- Album information
- Confidence score
- Match details
---
## 🎯 Target Use Cases
- Music identification apps
- Song discovery platforms
- Karaoke applications
- Music education tools
- Audio content recognition
- Copyright detection
- Music search engines
---
## 🛠 Extensibility
Future enhancements may include:
- Batch audio processing
- Real-time streaming recognition
- Custom music library
- Multi-lan...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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