Developing and testing sub-band spectral features in music genre and music mood machine learning

Bibliographic Details
Main Author:	Prezja, Fabi
Other Authors:	Humanistis-yhteiskuntatieteellinen tiedekunta, Faculty of Humanities and Social Sciences, Musiikin, taiteen ja kulttuurin tutkimuksen laitos, Department of Music, Art and Culture Studies, Jyväskylän yliopisto, University of Jyväskylä, Music, Mind and Technology (maisteriohjelma), Master's Degree Programme in Music, Mind and Technology, 3054
Format:	Master's thesis
Language:	eng
Published:	2018
Subjects:	music information retrieval music genre classification music mood classification sub-band features polyphonic timbre spectral features adaptive spectral window decomposition koneoppiminen genret luokitus (toiminta) machine learning genres classification
Online Access:	https://jyx.jyu.fi/handle/123456789/60963

Internet

https://jyx.jyu.fi/handle/123456789/60963