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

Preprint

21 December 2003

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.cond-mat/0312380

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

NONSTATIONARY TIME SERIES
VARIANCE FLUCTUATIONS
MUSIC GENRES
TIME SERIES
PROPERTIES

All Related Versions

Version 1, 2003-12-15, ArXiv
Version 2, 2003-12-17, ArXiv
Version 3, 2003-12-21, ArXiv
Published version: Physica A: Statistical Mechanics and its Applications, 336 (3-4), 585.

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