Building K-Pop Singing Voice Tag Dataset: A Progress Report

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dc.contributor.authorKim, Lukeko
dc.contributor.authorKum, Sangeunko
dc.contributor.authorPark, Chae Linko
dc.contributor.authorLee, Jongpilko
dc.contributor.authorPark, Jiyoungko
dc.contributor.authorNam, Juhanko
dc.date.accessioned2018-01-30T02:00:37Z-
dc.date.available2018-01-30T02:00:37Z-
dc.date.created2017-12-19-
dc.date.issued2017-10-27-
dc.identifier.citationThe 18th International Society for Musical Information Retrieval Conference-
dc.identifier.urihttp://hdl.handle.net/10203/237880-
dc.description.abstractWe present a progress report on building a new music auto-tagging dataset that focuses on singing voice tags and Kpop music. The dataset uses 70 tag words that describe the quality of singing voice in detail. The tags are annotated to a set of K-pop music in both song-level and segmentlevel. In this report, we show a brief analysis on song-level tagging results.-
dc.languageEnglish-
dc.publisherISMIR-
dc.titleBuilding K-Pop Singing Voice Tag Dataset: A Progress Report-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe 18th International Society for Musical Information Retrieval Conference-
dc.identifier.conferencecountryCC-
dc.identifier.conferencelocationSuzhou-
dc.contributor.localauthorNam, Juhan-
dc.contributor.nonIdAuthorPark, Chae Lin-
dc.contributor.nonIdAuthorPark, Jiyoung-
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GCT-Conference Papers(학술회의논문)
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