Survey Paper on Music Beat Tracking
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 10
Abstract
Tempo in music is beats perceived by us in unit time. The tempo is measured as number of beats per minute (BPM) in a music clip. This paper includes two algorithms used to measure tempo of music file. First one is an online musical beat tracking algorithm based on Kalman filtering(KF) with an enhanced probability data association (EPDA) method is proposed. This beat tracking algorithm is built upon a linear dynamic model of beat progression, to which the Kalman filtering technique can be conveniently applied. The beat tracking performance can be seriously degraded by noisy measurements in the Kalman filtering process. Three methods are presented for noisy measurements selection. They are the local maximum (LM) method, the probabilistic data association (PDA) method and the enhanced PDA (EPDA) method. Also another algorithm called Tempo Detection Using a Hybrid Multiband Approach is used for calculating beats per minute. The model tracks the periodicities of different signal property changes that manifest within different frequency bands by using the most appropriate onset/transient detectors for each frequency band.
Authors and Affiliations
Vedshree Panchwadkar, Shravani Pande, Prof. Mr. Makarand Velankar
Keywords
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