Deep unsupervised drum transcription

Keunwoo Choi, Kyunghyun Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We introduce DrummerNet, a drum transcription system that is trained in an unsupervised manner. DrummerNet does not require any ground-truth transcription and, with the data-scalability of deep neural networks, learns from a large unlabeled dataset. In DrummerNet, the target drum signal is first passed to a (trainable) transcriber, then reconstructed in a (fixed) synthesizer according to the transcription estimate. By training the system to minimize the distance between the input and the output audio signals, the transcriber learns to transcribe without ground truth transcription. Our experiment shows that DrummerNet performs favorably compared to many other recent drum transcription systems, both supervised and unsupervised.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019
EditorsArthur Flexer, Geoffroy Peeters, Julian Urbano, Anja Volk
PublisherInternational Society for Music Information Retrieval
Pages183-191
Number of pages9
ISBN (Electronic)9781732729919
StatePublished - 2019
Event20th International Society for Music Information Retrieval Conference, ISMIR 2019 - Delft, Netherlands
Duration: Nov 4 2019Nov 8 2019

Publication series

NameProceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019

Conference

Conference20th International Society for Music Information Retrieval Conference, ISMIR 2019
CountryNetherlands
CityDelft
Period11/4/1911/8/19

ASJC Scopus subject areas

  • Music
  • Information Systems

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  • Cite this

    Choi, K., & Cho, K. (2019). Deep unsupervised drum transcription. In A. Flexer, G. Peeters, J. Urbano, & A. Volk (Eds.), Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019 (pp. 183-191). (Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019). International Society for Music Information Retrieval.