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A similarity measure for music signals

dc.contributor.authorMarques, Gonçalo
dc.contributor.authorLanglois, Thibault
dc.date.accessioned2013-11-28T15:55:15Z
dc.date.available2013-11-28T15:55:15Z
dc.date.issued2008
dc.description.abstractOne of the goals in the field of Music Information Retrieval is to obtain a measure of similarity between two musical recordings. Such a measure is at the core of automatic classification, query, and retrieval systems, which have become a necessity due to the ever increasing availability and size of musical databases. This paper proposes a method for calculating a similarity distance between two music signals. The method extracts a set of features from the audio recordings, models the features, and determines the distance between models. While further work is needed, preliminary results show that the proposed method has the potential to be used as a similarity measure for musical signals.por
dc.identifier.citationMARQUES, Goncalo; LANGLOIS, Thibault - A similarity measure for music signals. ICEIS 2008: Proceedings of the 10th International Conference on Enterprise Information Systems, VOL AIDSS: Artificial Intelligence and Decision Support Systems. ISBN 978-989-8111-37-1. (2008), p. 308-312.por
dc.identifier.isbn978-989-8111-37-1
dc.identifier.urihttp://hdl.handle.net/10400.21/2960
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherINSTICC-Inst Syst Technologies Information Control & Communicationpor
dc.subjectMusic Information Retrievalpor
dc.subjectMusic Similarity Measurepor
dc.subjectAudio Signal Processingpor
dc.subjectFeature Extractionpor
dc.titleA similarity measure for music signalspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSetúbalpor
oaire.citation.endPage312por
oaire.citation.startPage308por
oaire.citation.titleICEIS 2008: Proceedings of the 10th International Conference on Enterprise Information Systems, VOL AIDSS: Artificial Intelligence and Decision Support Systemspor
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor

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