Open-Source OMR Model Rivals Audiveris
💡Competitive open OMR model – beats Audiveris on rhythms, fully OSS to fork/test now!
⚡ 30-Second TL;DR
What Changed
YOLO staff detection followed by DaViT-Base + RoPE decoder
Why It Matters
Democratizes music transcription for ML apps, potentially boosting symbolic music generation and analysis tools. Enables fine-grained improvements in polyphony handling and diverse scores.
What To Do Next
Clone https://github.com/clquwu/Clarity-OMR and run inference on your PDF sheet music.
Key Points
- •YOLO staff detection followed by DaViT-Base + RoPE decoder
- •Grammar FSA enforces beat/chord validity in beam search
- •DoRA rank-64 on linear layers, 487-token music vocab
- •Outperforms Audiveris on Bartók (69.5 vs 25.9) and Entertainer
- •Open-source inference, training, and HF model weights
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Original source: Reddit r/MachineLearning ↗
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