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