# Song Recognition

> Recognize songs by singing or audio file using iFlytek's Query By ACRCloud technology.

- Skill: `dvcrn/song-recognition` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add dvcrn/song-recognition`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/song-recognition/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/song-recognition

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# 🎵 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.

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## ✨ 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

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## ⚠ Constraints

- Audio must contain clear melody
- API credentials must be configured
- Network connection required
- Synchronous processing - instant results
- Audio quality affects recognition accuracy

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## 🔧 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"
	}
}
```



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## 📦 Output

Returns JSON response with:
- Song name
- Artist name
- Album information
- Confidence score
- Match details

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## 🎯 Target Use Cases

- Music identification apps
- Song discovery platforms
- Karaoke applications
- Music education tools
- Audio content recognition
- Copyright detection
- Music search engines

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## 🛠 Extensibility

Future enhancements may include:

- Batch audio processing
- Real-time streaming recognition
- Custom music library
- Multi-language song support
- Genre classification

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Built for automation workflows and AI-driven music recognition.