Please use this identifier to cite or link to this item: https://doi.org/10.1145/1180639.1180777
Title: Syllabic level automatic synchronization of music signals and text lyrics
Authors: Iskandar, D.
Wang, Y. 
Kan, M.-Y. 
Li, H.
Keywords: Dynamic programming
Hidden Markov model
Music structure
Voice alignment
Issue Date: 2006
Source: Iskandar, 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. https://doi.org/10.1145/1180639.1180777
Abstract: We 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.
Source Title: Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
URI: http://scholarbank.nus.edu.sg/handle/10635/41327
ISBN: 1595934472
DOI: 10.1145/1180639.1180777
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