Key Characteristics of Hymns

Author:

Kamitani Tatsuo, ,Matsuda Minoru,

Abstract

The authors propose a way of patterning the bars of monophonic melodies in hymns and finding keys from such patterns. The authors represent monophonic melody bars on a vector showing the duration of pitch chroma contained in each bar. In experiments, the authors patterned bars of 352 four/four beat hymns, defined the distance between the bar key and melody, and found they key from this, correctly 83.1% of the time. The authors also propose a way to determine the maximum likelihood of a contaminated normal distribution of distance between patterns using an EM algorithm. Key characteristics of hymns were then studied using this method.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference10 articles.

1. D. Deutcsh (Ed.), “The psychology of music,” Academic Press, San Diego, 1982.

2. C. L. Krumhansl and E. J. Kessler, “Tracing the dynamic changes in perceived tonal organization in a spatial representation of music keys,” Psychol. Rev., Vol.89, pp. 334-368, 1982.

3. K. Akiyama, M. Matsuda, and M. Nakano, “The discrimination of tonality in Japanese popular songs – Feature vector and the entropy of pitch transition,” The Journal of the Acoustical Society of Japan, Vol.44, No.11, pp. 809-814, 1988.

4. C. L. Krumhansl, “A key finding algorithm based on tonal hierarchies in Cognitive foundations of musical pitch,” Oxford University Press, New York, pp. 77-110, 1990.

5. M. Matsuda and K. Akiyama, “Tonality discrimination and tonic identification from melodic motion of monodies,” The Journal of the Acoustical Society of Japan, Vol.52, No.4, pp. 253-260, 1996.

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