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 | Citation: | 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 |
| Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.