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Discovering Rule-Based Learning Systems for the Purpose of Music Analysis

Abstrakt

Music analysis and processing aims at understanding information retrieved from music (Music Information Retrieval). For the purpose of music data mining, machine learning (ML) methods or statistical approach are employed. Their primary task is recognition of musical instrument sounds, music genre or emotion contained in music, identification of audio, assessment of audio content, etc. In terms of computational approach, music databases contain imprecise, vague and indiscernible data objects. Moreover, most of the machine learning algorithms outcomes are given as a black-box result. Also, underfitting or overfitting may occur, meaning that either the model description is not complex enough or the test set is too small or not sufficiently representative. Thus the goal is to generalize the model. To overcome some of these problems, rule-based systems may be used, e.g., based on rough set theory that shows the outcome in the form of rules interconnecting features retrieved from music. Thus, first, principles of rule-based classifiers and particularly rough sets (RS) are presented, showing their usability in the music domain. A potential of the rough set-based approach was shown in the context of music genre recognition. The results were analyzed in terms of the recognition rate and computation time efficiency.

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Wersja publikacji
Accepted albo Published Version
Licencja
Copyright (2019 Acoustical Society of America)

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Journal of the Acoustical Society of America nr 146, strony 1 - 13,
ISSN: 0001-4966
Język:
angielski
Rok wydania:
2019
Opis bibliograficzny:
Korvel G., Kostek B.: Discovering Rule-Based Learning Systems for the Purpose of Music Analysis// Journal of the Acoustical Society of America -Vol. 146,iss. 4 (2019), s.1-13
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1121/1.5137237
Źródła finansowania:
  • Działalność statutowa/subwencja
Weryfikacja:
Politechnika Gdańska

wyświetlono 103 razy

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