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Classification of Music Genres by Means of Listening Tests and Decision Algorithms

Abstrakt

The paper compares the results of audio excerpt assignment to a music genre obtained in listening tests and classification by means of decision algorithms. A short review on music description employing music styles and genres is given. Then, assumptions of listening tests to be carried out along with an online survey for assigning audio samples to selected music genres are presented. A framework for music parametrization is created resulting in feature vectors, which are checked for data redundancy. Finally, the effectiveness of the automatic music genre classification employing two decision algorithms is presented. Conclusions contain the results of the comparative analysis of the results obtained in listening tests and automatic genre classification.

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Aleksandra Dorochowicz, Agata Majdańczuk, Piotr Hoffmann, Bożena Kostek. (2019). Classification of Music Genres by Means of Listening Tests and Decision Algorithms, 291-305. https://doi.org/10.1007/978-3-319-77604-0_21

Informacje szczegółowe

Kategoria:
Publikacja monograficzna
Typ:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Tytuł wydania:
Intelligent Methods and Big Data in Industrial Applications strony 291 - 305
Język:
angielski
Rok wydania:
2019
Opis bibliograficzny:
Dorochowicz A., Majdańczuk A., Hoffmann P., Kostek B.: Classification of Music Genres by Means of Listening Tests and Decision Algorithms// Intelligent Methods and Big Data in Industrial Applications/ ed. Robert Bembenik, Łukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski Cham: Springer, 2019, s.291-305

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