2020
DOI: 10.48550/arxiv.2010.01104
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Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model

Taegyun Kwon,
Dasaem Jeong,
Juhan Nam

Abstract: Recent advances in polyphonic piano transcription have been made primarily by a deliberate design of neural network architectures that detect different note states such as onset or sustain and model the temporal evolution of the states. The majority of them, however, use separate neural networks for each note state, thereby optimizing multiple loss functions, and also they handle the temporal evolution of note states by abstract connections between the statewise neural networks or using a post-processing modul… Show more

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