Using morphological description for generic sound retrieval

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dc.contributor.author Julien Ricard en_US
dc.contributor.author Perfecto Herrera en_US
dc.contributor.editor Holger H. Hoos en_US
dc.contributor.editor David Bainbridge en_US
dc.date.accessioned 2004-10-21T04:26:40Z
dc.date.available 2004-10-21T04:26:40Z
dc.date.issued 2003-10-26 en_US
dc.identifier.isbn 0-9746194-0-X en_US
dc.identifier.uri http://jhir.library.jhu.edu/handle/1774.2/49
dc.description.abstract Systems for sound retrieval are usually “source-centred”. This means that retrieval is based on using the proper keywords that define or specify a sound source. Although this type of description is of great interest, it is very difficult to implement it into realistic automatic labelling systems because of the necessity of dealing with thousands of categories, hence with thousands of different sound models. Moreover, digitally synthesised or transformed sounds, which are frequently used in most of the contemporary popular music, have no identifiable sources. We propose a description framework, based on Schaeffer’s research on a generalised solfeggio which could be applied to any type of sounds. He defined some morphological description criteria, based on intrinsic perceptual qualities of sound, which doesn’t refer to the cause or the meaning of a sound. We describe more specifically experiments on automatic extraction of morphological descriptors. en_US
dc.description.provenance Made available in DSpace on 2004-10-21T04:26:40Z (GMT). No. of bitstreams: 1 paper.pdf: 22756 bytes, checksum: 108634f2a447d2cc0a08b392ba68ce73 (MD5) Previous issue date: 2003-10-26 en
dc.format.extent 22756 bytes
dc.format.mimetype application/pdf
dc.language en en_US
dc.language.iso en_US
dc.publisher Johns Hopkins University en_US
dc.subject Music Analysis en_US
dc.subject Metadata en_US
dc.title Using morphological description for generic sound retrieval en_US
dc.type article en_US

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