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Conference Paper: Selection of melody lines for music databases

TitleSelection of melody lines for music databases
Authors
KeywordsComputers
Software
Issue Date2000
PublisherIEEE, Computer Society.
Citation
Proceedings - Ieee Computer Society's International Computer Software And Applications Conference, 2000, p. 243-248 How to Cite?
AbstractOne major approach to music retrieval is to model music as a sequence of features, after which traditional information retrieval techniques are applied on the sequence. Because of the temporal nature of music and the inexactness of user queries, most effort on music retrieval systems focus on issues such as indexing and approximation match. In contrast, the processing of music before feature extraction, such as the identification of melody track, were often considered easy or done. This may be the case in a controlled environment, such as one for musicology research, where the pieces are carefully analyzed by human beings before being submitted to the database. However, in an environment where large volumes of music is obtained from the Web, manual music analysis is impractical. Since many well-known musical features often pertain to the melody of musical pieces, and users often remember the melody of a song, algorithms that select the melody tracks of a piece are important for Web-based content-based retrieval systems. In this paper, we describe a number of algorithms for automatic melody track selection in a music retrieval context. We will also study the performance of the algorithms by comparing their answers to those judged by human beings.
Persistent Identifierhttp://hdl.handle.net/10722/45623
ISSN

 

DC FieldValueLanguage
dc.contributor.authorTang, Michaelen_HK
dc.contributor.authorYip, Chi Lapen_HK
dc.contributor.authorKao, Benen_HK
dc.date.accessioned2007-10-30T06:30:31Z-
dc.date.available2007-10-30T06:30:31Z-
dc.date.issued2000en_HK
dc.identifier.citationProceedings - Ieee Computer Society's International Computer Software And Applications Conference, 2000, p. 243-248en_HK
dc.identifier.issn0730-3157en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45623-
dc.description.abstractOne major approach to music retrieval is to model music as a sequence of features, after which traditional information retrieval techniques are applied on the sequence. Because of the temporal nature of music and the inexactness of user queries, most effort on music retrieval systems focus on issues such as indexing and approximation match. In contrast, the processing of music before feature extraction, such as the identification of melody track, were often considered easy or done. This may be the case in a controlled environment, such as one for musicology research, where the pieces are carefully analyzed by human beings before being submitted to the database. However, in an environment where large volumes of music is obtained from the Web, manual music analysis is impractical. Since many well-known musical features often pertain to the melody of musical pieces, and users often remember the melody of a song, algorithms that select the melody tracks of a piece are important for Web-based content-based retrieval systems. In this paper, we describe a number of algorithms for automatic melody track selection in a music retrieval context. We will also study the performance of the algorithms by comparing their answers to those judged by human beings.en_HK
dc.format.extent554855 bytes-
dc.format.extent3342 bytes-
dc.format.extent4319 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.relation.ispartofProceedings - IEEE Computer Society's International Computer Software and Applications Conferenceen_HK
dc.rights©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputersen_HK
dc.subjectSoftwareen_HK
dc.titleSelection of melody lines for music databasesen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0730-3157&volume=&spage=243&epage=248&date=2000&atitle=Selection+of+Melody+Lines+for+Music+Databasesen_HK
dc.identifier.emailYip, Chi Lap:clyip@cs.hku.hken_HK
dc.identifier.emailKao, Ben:kao@cs.hku.hken_HK
dc.identifier.authorityYip, Chi Lap=rp00205en_HK
dc.identifier.authorityKao, Ben=rp00123en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/CMPSAC.2000.884725en_HK
dc.identifier.scopuseid_2-s2.0-0034510023en_HK
dc.identifier.hkuros57314-
dc.identifier.spage243en_HK
dc.identifier.epage248en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridTang, Michael=7401974215en_HK
dc.identifier.scopusauthoridYip, Chi Lap=7101665547en_HK
dc.identifier.scopusauthoridKao, Ben=35221592600en_HK
dc.identifier.citeulike3355138-

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