An Adaptive Algorithm for Music Beat Tracking

DOI

10.2991/iset-15.2015.12How to use a DOI?

Keywords

Music audio analysis, Music beat tracking, Extraction of music feature

Abstract

On the basis of Time Domain Analysis, this paper proposes a method for music beat tracking. Through this method, music beats are detected and tracked by timestamp and intensity value. Generally, the beat-areas of music signal converge more energy than other areas, therefore, the spots of beat can be filtered out by a tracking algorithm with a dynamic threshold value. In this paper, dynamic threshold value in tracking algorithm is modified by using two sliding windows, which are Prediction Window and Detection Window. Also, a new indicator which indicates the stationarity of the signal is proposed. This factor can distinguishes the music signal with rhythmic beats from which with lone-tone and noise in time-domain. The experimental result proves the simplicity, adaptability, and robustness of this method, and it is an efficient algorithm on music beat tracking.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhanchun Gao
AU  - Yuting Liu
AU  - Yanjun Jiang
PY  - 2015/03
DA  - 2015/03
TI  - An Adaptive Algorithm for Music Beat Tracking
BT  - Proceedings of the First International Conference on Information Science and Electronic Technology
PB  - Atlantis Press
SP  - 45
EP  - 48
SN  - 2352-538X
UR  - https://doi.org/10.2991/iset-15.2015.12
DO  - 10.2991/iset-15.2015.12
ID  - Gao2015/03
ER  -