G5 Doctoral dissertation (article)
Music mood annotation using semantic computing and machine learning (2015)
Saari, P. (2015). Music mood annotation using semantic computing and machine learning [Doctoral dissertation]. University of Jyväskylä. Jyväskylä studies in humanities, 243. http://urn.fi/URN:ISBN:978-951-39-6074-2
JYU authors or editors
Publication details
All authors or editors: Saari, Pasi
ISBN: 978-951-39-6073-5
Journal or series: Jyväskylä studies in humanities
ISSN: 1459-4323
Publication year: 2015
Number in series: 243
Number of pages in the book: 58
Publisher: University of Jyväskylä
Place of Publication: Jyväskylä
Publication country: Finland
Publication language: English
Persistent website address: http://urn.fi/URN:ISBN:978-951-39-6074-2
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): http://urn.fi/URN:ISBN:978-951-39-6074-2
Additional information: Artikkeliväitöskirjan yhteenveto-osa ja 6 eripainosta. Musiikin ilmaisemien tunnetilojen mallinnus käyttäen semanttisen laskennan ja koneoppimisen menetelmiä. Myös Verkkojulkaisu (PDF): ISBN 9789513960742
Keywords: music; emotions; annotation; calculation methods; machine learning; modelling (representation); tags (information); online communities; social media
Free keywords: music mood annotation; music emotion recognition; social tags; editorial tags; circumplex model; feature selection; genre-adaptive; semantic computing; audio feature extraction
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2015
Preliminary JUFO rating: Not rated