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Normalized Cumulative Spectral Distribution in Music

Authors: Young-Hwan Song, Hyung-Jun Kwon, Myung-Jin Bae

Abstract:

As the remedy used music becomes active and meditation effect through the music is verified, people take a growing interest about psychological balance or remedy given by music. From traditional studies, it is verified that the music of which spectral envelop varies approximately as 1/f (f is frequency) down to a frequency of low frequency bandwidth gives psychological balance. In this paper, we researched signal properties of music which gives psychological balance. In order to find this, we derived the property from voice. Music composed by voice shows large value in NCSD. We confirmed the degree of deference between music by curvature of normalized cumulative spectral distribution. In the music that gives psychological balance, the curvature shows high value, otherwise, the curvature shows low value.

Keywords: Cognitive Psychology, curvature, Normalized Cumulative Spectral Distribution

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070323

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References:


[1] B. Logan and A. Salomon, "A Music Similarity Function based on Signal Analysis," Proceedings of the IEEE International Conference on Multimedia and Expo (ICME2001), pp.745-748, 2001.
[2] Beth Logan, "Mel Frequency Cepstral Coefficients for music modeling," Proceedings of the First International Symposium on Music Information Retrieval (ISMIR), 2000.
[3] L. Rabiner and B. H. Juang, Fundamentals of speech recognition, Englewood Cliffs, NJ: Prentice Hall, 1993.
[4] G. Peeters, "A Large Set of Audio Features for Sound Description (Similarity and Classification) in the Cuidado Project," IRCAM, Tech. Rep., 2004.
[5] S. Essid, G. Richard, B. David, "Instrument recognition in polyphonic music based on automatic taxonomies," IEEE Trans. on Aidio, Speech and Languge processing, Vol. 14, No. 1, pp. 68-80, Jan. 2006
[6] S. Essid, G. Richard, B. David, "musical instrument recognition based on class pairwise feature selection," in Proc. 5th Int. Conf. Music Information Retrieval (ISMIR), Barcelona, Spain, Oct. 2004.
[7] R. F. Voss and J. Clarke, "1/f noise- in music and speech," Nature, Vol. 258, Issue 5533, pp. 317-318, 1975.
[8] R. F. Voss and J. Clarke, ""1/f noise" in music: Music from 1/f noise," J. Acoust. Soc. Am., Vol. 63, pp. 258-263, Jan. 1978.