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

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

2003-12-15

arxiv.org/abs/cond-mat/0312380v3

Physics

Condensed Matter

Disordered Systems and Neural Networks

13 pages, 4 figs

Scientific paper

10.1016/j.physa.2003.12.049

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.

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