Content processing of music audio signals

Home | About RECERCAT | Contact

Català | Castellano

All of RECERCAT

By Communities &
Collections By Defense Date By Authors By Titles By Subject

This Collection

By Defense Date By Authors By Titles By Subject

Statistics

View Statistics All RECERCAT

My RECERCAT

Other repositories directory

RECERCAT Home > Universitat Pompeu Fabra > Articles, congressos, llibres > View document

To access the full text documents, please follow this link: http://hdl.handle.net/10230/34286

dc.contributor.author	Gouyon, Fabien
dc.contributor.author	Herrera Boyer, Perfecto, 1964-
dc.contributor.author	Gómez Gutiérrez, Emilia, 1975-
dc.contributor.author	Cano, Pedro
dc.contributor.author	Bonada, Jordi, 1973-
dc.contributor.author	Loscos, Àlex
dc.contributor.author	Amatriain, Xavier
dc.contributor.author	Serra, Xavier
dc.date	2008
dc.identifier.citation	Gouyon F, Herrera P, Gómez E, Cano P, Bonada J, Loscos A, Amatriain X, Serra X. Content processing of music audio signals. In: Polotti P, Rocchesso D, editors. Sound to sense, sense to sound: a state of the art in sound and music computing. Berlin: Logos Verlag; 2008. p. 83-160.
dc.identifier.citation	978-3-8325-1600-0
dc.identifier.uri	http://hdl.handle.net/10230/34286
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Logos Verlag
dc.relation	Polotti P, Rocchesso D, editors. Sound to sense, sense to sound: a state of the art in sound and music computing. Berlin: Logos Verlag; 2008.
dc.relation	info:eu-repo/grantAgreement/EC/FP6/507142
dc.rights	© Copyright Logos Verlag Berlin GmbH 2008. https://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=1600&lng=eng&id=
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Sound and Music Computing
dc.subject	Music Cognition
dc.subject	Audio Signal Processing
dc.subject	Machine learning
dc.title	Content processing of music audio signals
dc.type	info:eu-repo/semantics/bookPart
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective (focusing on musically meaningful dimensions). We also provide examples of applications based on this description, such as music identification, music browsing and music signal transformations. Throughout the chapter, a special focus is put on promising research directions.
dc.description.abstract	This work has been partially funded by the European IST-507142 project SIMAC (Semantic Interaction with Music Audio Contents),15 and the HARMOS E-Content project.

Show simple item record

All of RECERCAT

This Collection

Statistics

My RECERCAT

Related documents

Other documents of the same author