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Please use this identifier to cite or link to this item: https://doi.org/10.1145/1180639.1180777
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dc.titleSyllabic level automatic synchronization of music signals and text lyrics
dc.contributor.authorIskandar, D.
dc.contributor.authorWang, Y.
dc.contributor.authorKan, M.-Y.
dc.contributor.authorLi, H.
dc.date.accessioned2013-07-04T08:24:55Z
dc.date.available2013-07-04T08:24:55Z
dc.date.issued2006
dc.identifier.citationIskandar, D.,Wang, Y.,Kan, M.-Y.,Li, H. (2006). Syllabic level automatic synchronization of music signals and text lyrics. Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006 : 659-662. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1180639.1180777" target="_blank">https://doi.org/10.1145/1180639.1180777</a>
dc.identifier.isbn1595934472
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41327
dc.description.abstractWe present a framework to synchronize pop music to corresponding text lyric. We refine line level alignment achievable by existing work to syllabic level by using a dynamic programming process. Our main contribution is using music knowledge to constrain the dynamic programming search. This is done by modeling (1) non-uniform note length distribution and (2) a note length distribution for each section type (for example intro, chorus, and bridge). These reduce alignment error by 6.4% and improve time efficiency by a factor of 2.2.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/1180639.1180777
dc.sourceScopus
dc.subjectDynamic programming
dc.subjectHidden Markov model
dc.subjectMusic structure
dc.subjectVoice alignment
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1145/1180639.1180777
dc.description.sourcetitleProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
dc.description.page659-662
dc.identifier.isiutNOT_IN_WOS
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