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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: | |
| # 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) | |