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dc.contributor.authorJulien Ricarden_US
dc.contributor.authorPerfecto Herreraen_US
dc.contributor.editorHolger H. Hoosen_US
dc.contributor.editorDavid Bainbridgeen_US
dc.date.accessioned2004-10-21T04:26:40Z
dc.date.available2004-10-21T04:26:40Z
dc.date.issued2003-10-26en_US
dc.identifier.isbn0-9746194-0-Xen_US
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/49
dc.description.abstractSystems 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.format.extent22756 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen_US
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectMusic Analysisen_US
dc.subjectMetadataen_US
dc.titleUsing morphological description for generic sound retrievalen_US
dc.typearticleen_US


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