Ecological acoustics perspective for content-based retrieval of environmental sounds

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/34635

dc.contributor.author	Roma Trepat, Gerard
dc.contributor.author	Janer Mestres, Jordi
dc.contributor.author	Kersten, Stefan
dc.contributor.author	Schirosa, Mattia
dc.contributor.author	Herrera Boyer, Perfecto, 1964-
dc.contributor.author	Serra, Xavier
dc.date	2010
dc.identifier.citation	Roma G, Janer J, Kersten S, Schirosa M, Herrera P, Serra X. Ecological acoustics perspective for content-based retrieval of environmental sounds. EURASIP Journal on Audio, Speech, and Music Processing. 2010:960863. DOI: 10.1155/2010/960863
dc.identifier.citation	1687-4714
dc.identifier.citation	http://dx.doi.org/10.1155/2010/960863
dc.identifier.uri	http://hdl.handle.net/10230/34635
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Hindawi
dc.relation	EURASIP Journal on Audio, Speech, and Music Processing. 2010:960863.
dc.rights	© 2010 Gerard Roma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by/4.0/
dc.subject	Basic event
dc.subject	Sound event
dc.subject	Environmental sound
dc.subject	Field recording
dc.subject	Audio clip
dc.title	Ecological acoustics perspective for content-based retrieval of environmental sounds
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	In this paper we present a method to search for environmental sounds in large unstructured databases of user-submitted audio, using a general sound events taxonomy from ecological acoustics. We discuss the use of Support VectorMachines to classify sound recordings according to the taxonomy and describe two use cases for the obtained classificationmodels: a content-based web search interface for a large audio database and a method for segmenting field recordings to assist sound design.
dc.description.abstract	This paper was partially supported by the ITEA2 Metaverse1 (http://www.metaverse1.org/) project.

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