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Note segmentation based on prior knowledge of music score
Author(s): Yu Qing; Yibin Rui; Haifeng Fei; Bixuan Jiao
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Paper Abstract

This paper proposes a note segmentation method combining music score, aiming at the problem that cannot segment multi-tone music with more changes in intensity accurately. By extracting the envelope peak value of music signal and matching it with note values and pitch information of musical score, the segmentation of notes is completed.Simulation results show that the method based on the prior knowledge of value and pitch information of music score can not only realize the segmentation of notes of continuous single tone music, but also be suitable for multi-tone music with strong and weak variations.

Paper Details

Date Published: 31 December 2019
PDF: 5 pages
Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 113840D (31 December 2019); doi: 10.1117/12.2559467
Show Author Affiliations
Yu Qing, Nanjing Univ. of Science and Technology (China)
Yibin Rui, Nanjing Univ. of Science and Technology (China)
Haifeng Fei, Nanjing Univ. of Science and Technology (China)
Bixuan Jiao, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11384:
Eleventh International Conference on Signal Processing Systems
Kezhi Mao, Editor(s)

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