The paper builds the first popular-music audio-to-score dataset and a model that improves classical A2S error rates by 67.5% while establishing a 20.92% benchmark on the new data.
Valero-Mas, and Jorge Calvo- Zaragoza
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Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset
The paper builds the first popular-music audio-to-score dataset and a model that improves classical A2S error rates by 67.5% while establishing a 20.92% benchmark on the new data.