Transition-Aware: A More Robust Approach for Piano Transcription

2021 24th International Conference on Digital Audio Effects (DAFx)(2021)

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Abstract
Piano transcription is a classic problem in music information retrieval. More and more transcription methods based on deep learning have been proposed in recent years. In 2019, Google Brain published a larger piano transcription dataset, MAESTRO. On this dataset, Onsets and Frames transcription approach proposed by Hawthorne achieved a stunning onset F1 score of 94.73%. Unlike the annotation metho...
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Key words
Deep learning,Annotations,Brain modeling,Internet,Music information retrieval
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