High-Quality and Reproducible Automatic Drum Transcription from Crowdsourced Data
Mickaël Zehren,
Marco Alunno,
Paolo Bientinesi
Abstract:Within the broad problem known as automatic music transcription, we considered the specific task of automatic drum transcription (ADT). This is a complex task that has recently shown significant advances thanks to deep learning (DL) techniques. Most notably, massive amounts of labeled data obtained from crowds of annotators have made it possible to implement large-scale supervised learning architectures for ADT. In this study, we explored the untapped potential of these new datasets by addressing three key poi… Show more
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