Improving Motif Discovery of Symbolic Polyphonic Music with Motif Note Identification

Motif discovery in polyphonic symbolic music data is an important yet challenging task in music processing. In this paper, we propose a novel motif-discovery method created by combining the traditional rule-based repeated pattern discovery algorithms with a machine learning–based model that performs...

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Autori principali:	Jun-You Wang, Yu-Chia Kuo, Li Su
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Ubiquity Press 2025-09-01
Serie:	Transactions of the International Society for Music Information Retrieval
Soggetti:	motif discovery repeated pattern discovery motif note identification melody identification symbolic music processing transfer learning
Accesso online:	https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/250
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