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Appl. Sci. 2018, 8(4), 561; doi:10.3390/app8040561

A Novel Tempogram Generating Algorithm Based on Matching Pursuit

1
School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, China
2
Nanjing University of Posts and Telecommunications, Nanjing 210003, China
3
College of Public Administration, Hohai University, Nanjing 210098, China
4
Science and Engineering Faculty, Queensland University of Technology, Queensland 4001, Australia
*
Authors to whom correspondence should be addressed.
Received: 14 February 2018 / Revised: 26 March 2018 / Accepted: 3 April 2018 / Published: 4 April 2018
(This article belongs to the Special Issue Digital Audio and Image Processing with Focus on Music Research)
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Abstract

Tempogram is one of the most useful representations for tempo, which has many applications, such as music tempo estimation, music structure analysis, music classification, and beat tracking. This paper presents a novel tempogram generating algorithm, which is based on matching pursuit. First, a tempo dictionary is designed in the light of the characteristics of tempo and note onset, then matching pursuit based on the tempo dictionary is executed on the resampled novelty curve, and finally the tempogram is created by assembling the coefficients of matching pursuit. The tempogram created by this algorithm has better resolution, stronger sparsity, and flexibility than those of the traditional algorithms. We demonstrate the properties of the algorithm through experiments and provide an application example for tempo estimation. View Full-Text
Keywords: tempo; tempogram; novelty curve; autocorrelation; Fourier transform; matching pursuit tempo; tempogram; novelty curve; autocorrelation; Fourier transform; matching pursuit
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Gui, W.; Sun, Y.; Tao, Y.; Li, Y.; Meng, L.; Zhang, J. A Novel Tempogram Generating Algorithm Based on Matching Pursuit. Appl. Sci. 2018, 8, 561.

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