Variance fluctuations in nonstationary time series: a comparative study of music genres

Heather D Jennings, Plamen Ch Ivanov, Allan de M. Martins, P.c da Silva and G.m Viswanathan

Physica A: Statistical Mechanics and its Applications, 2004, vol. 336, issue 3, 585-594

Abstract: An important problem in physics concerns the analysis of audio time series generated by transduced acoustic phenomena. Here, we develop a new method to quantify the scaling properties of the local variance of nonstationary time series. We apply this technique to analyze audio signals obtained from selected genres of music. We find quantitative differences in the correlation properties of high art music, popular music, and dance music. We discuss the relevance of these objective findings in relation to the subjective experience of music.

Keywords: Time series analysis; Variance fluctuations; Music (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:336:y:2004:i:3:p:585-594

DOI: 10.1016/j.physa.2003.12.049

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