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Sound object classification for symbolic audio mosaicing: a proof-of-concept

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dc.contributor.author Janer Mestres, Jordi
dc.contributor.author Haro Berois, Martín
dc.contributor.author Roma Trepat, Gerard
dc.contributor.author Fujishima, Takuya
dc.contributor.author Kojima, Naoaki
dc.date.accessioned 2018-05-15T10:11:17Z
dc.date.available 2018-05-15T10:11:17Z
dc.date.issued 2009
dc.identifier.citation Janer J, Haro M, Roma G, Fujishima T, Kojima N. Sound object classification for symbolic audio mosaicing: a proof-of-concept. In: Gouyon F, Barbosa Á, Serra X, editors. Proceedings of the 6th Sound and Music Computing Conference; 2009 Jul 23-25; Porto, Portugal. [Barcelona: Sound and Music Computing; 2009]. p. 297-302.
dc.identifier.issn 2518-3672
dc.identifier.uri http://hdl.handle.net/10230/34637
dc.description Comunicació presentada a la 6th Sound and Music Computing Conference, celebrada els dies 23 a 25 de juliol de 2009 a Porto, Portugal.
dc.description.abstract Sample-based music composition often involves the task of manually searching appropriate samples from existing audio. Audio mosaicing can be regarded as a way to automatize this process by specifying the desired audio attributes, so that sound snippets that match these attributes are concatenated in a synthesis engine. These attributes are typically derived from a target audio sequence, which might limit the musical control of the user. In our approach, we replace the target audio sequence by a symbolic sequence constructed with pre-defined sound object categories. These sound objects are extracted by means of automatic classification techniques. Three steps are involved in the sound object extraction process: supervised training, automatic classification and user-assisted selection. Two sound object categories are considered: percussive and noisy. We present an analysis/synthesis framework, where the user explores first a song collection using symbolic concepts to create a set of sound objects. Then, the selected sound objects are used in a performance environment based on a loop-sequencer paradigm.
dc.description.sponsorship This work is partially funded by Yamaha Corp., Japan and the EU IST project Salero FP6-027122.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher [Sound and Music Computing]
dc.relation.ispartof Gouyon F, Barbosa Á, Serra X, editors. Proceedings of the 6th Sound and Music Computing Conference; 2009 Jul 23-25; Porto, Portugal. [Barcelona: Sound and Music Computing; 2009]. p. 297-302.
dc.rights © Sound and Music Computing. Creative Commons Attribution 4.0
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject.other So -- Informàtica
dc.title Sound object classification for symbolic audio mosaicing: a proof-of-concept
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.5281/zenodo.849677
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/027122
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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