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title: AI Music Attribution
emoji: π΅
colorFrom: purple
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
# hf_oauth: true
hf_oauth_scopes:
- email
---
# AI Music Attribution
Analyze AI-generated music to identify potential training data sources using MERT embeddings.
## Features
- π΅ Upload audio tracks for analysis
- π Chunk-level similarity matching with 10K+ training tracks
- π Visual attribution results with waveform display
- πΌ Support for MP3, WAV, OGG formats
- π HuggingFace OAuth authentication
## How It Works
1. **Sign in** with your HuggingFace account
2. **Upload** your audio file
3. **Analyze** using MERT music embeddings
4. **View** matched training tracks with similarity scores
## Technology
- **Frontend**: React + Vite + Tailwind
- **Backend**: Node.js + tRPC
- **ML**: MERT-v1-95M (768-dim music embeddings)
- **Matching**: Cosine similarity with dynamic thresholds
## Resources
- MERT Model: [m-a-p/MERT-v1-95M](https://huggingface.co/m-a-p/MERT-v1-95M)
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