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Towards the use of similarity distances to music genre classification : a comparative study

Article: English. Online
Author(s)
Goienetxea, Izaro ; Martínez-Otzeta, José María ; Mendialdua, Iñigo ; Sierra, Basilio
Title
Towards the use of similarity distances to music genre classification : a comparative study / Izaro Goienetxea, Jose María Martínez-Otzeta, Basilio Sierra, Iñigo Mendialdua
In
PLoS ONE, 13, 2, 2018, 1-18
Subjects
Bertsolaritza
Content
Testu osoa
Type of material
Article
Music genre classification is a challenging research concept, for which open questions remain regarding classification approach, music piece representation, distances between/within genres, and so on. In this paper an investigation on the classification of generated music pieces is performed, based on the idea that grouping close related known pieces in different sets –or clusters– and then generating in an automatic way a new song which is somehow “inspired” in each set, the new song would be more likely to be classified as belonging to the set which inspired it, based on the same distance used to separate the clusters. Different music pieces representations and distances among pieces are used; obtained results are promising, and indicate the appropriateness of the used approach even in a such a subjective area as music genre classification is.