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Conference Paper: A Study on Musical Features for Melody Databases

TitleA Study on Musical Features for Melody Databases
Authors
Issue Date1999
PublisherSpringer.
Citation
The 10th International Conference on Database and Expert Systems Applications (DEXA '99), Florence, Italy, 30 August - 3 September 1999. In Bench-Capon, TJ, Soda, G and Tjoa, AM (Eds.). Database and Expert Systems Applications, p. 724-733. Berlin; Heidelberg: Springer, 1999 How to Cite?
AbstractThe design of content-based music retrieval systems on the Web is a challenge, since music is auditory, temporal, and multidimensional — the same piece can be interpreted in multiple ways. Most literatures on music retrieval simply map the problem to existing information retrieval paradigms, mainly that of text, by modeling music as a sequence of features. However, this mapping raises questions to be an- swered. Through the study of the statistical properties of six features, namely Profile, Note Duration Ratio Sequence, Interval Sequence and their variants, we answer four of these questions in this paper. They are: the number of musical “alphabets” and “words” in musical features, whether Zipf’s law holds for musical features, whether there are any musical “stopwords”, and the range of n for n-gram based music indices.
Persistent Identifierhttp://hdl.handle.net/10722/93403
ISBN
Series/Report no.Lecture Notes in Computer Science book series (LNCS, volume 1677)

 

DC FieldValueLanguage
dc.contributor.authorYip, CLen_HK
dc.contributor.authorKao, CMen_HK
dc.date.accessioned2010-09-25T15:00:02Z-
dc.date.available2010-09-25T15:00:02Z-
dc.date.issued1999en_HK
dc.identifier.citationThe 10th International Conference on Database and Expert Systems Applications (DEXA '99), Florence, Italy, 30 August - 3 September 1999. In Bench-Capon, TJ, Soda, G and Tjoa, AM (Eds.). Database and Expert Systems Applications, p. 724-733. Berlin; Heidelberg: Springer, 1999en_HK
dc.identifier.isbn978-3-540-66448-2-
dc.identifier.urihttp://hdl.handle.net/10722/93403-
dc.description.abstractThe design of content-based music retrieval systems on the Web is a challenge, since music is auditory, temporal, and multidimensional — the same piece can be interpreted in multiple ways. Most literatures on music retrieval simply map the problem to existing information retrieval paradigms, mainly that of text, by modeling music as a sequence of features. However, this mapping raises questions to be an- swered. Through the study of the statistical properties of six features, namely Profile, Note Duration Ratio Sequence, Interval Sequence and their variants, we answer four of these questions in this paper. They are: the number of musical “alphabets” and “words” in musical features, whether Zipf’s law holds for musical features, whether there are any musical “stopwords”, and the range of n for n-gram based music indices.-
dc.languageengen_HK
dc.publisherSpringer.en_HK
dc.relation.ispartofDatabase and Expert Systems Applicationsen_HK
dc.relation.ispartofseriesLecture Notes in Computer Science book series (LNCS, volume 1677)-
dc.titleA Study on Musical Features for Melody Databasesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailKao, CM: kao@cs.hku.hken_HK
dc.identifier.authorityKao, CM=rp00123en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/3-540-48309-8_67-
dc.identifier.hkuros50350en_HK
dc.identifier.spage8en_HK

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