Classification of Music Genres by Means of Listening Tests and Decision Algorithms - Publication - Bridge of Knowledge

Search

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

Abstract

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.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
Intelligent Methods and Big Data in Industrial Applications strony 291 - 305
Language:
English
Publication year:
2018
Bibliographic description:
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, 2018, s.291-305
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-77604-0_21
Verified by:
Gdańsk University of Technology

seen 167 times

Recommended for you

Meta Tags