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Characterization of guitars through fractal correlation dimensions of initial transients

Characterization of guitars through fractal correlation dimensions of initial transients Abstract Three guitars are characterized using 96 initial transients each, recorded over four strings, playing with four notes on each string, apoyando and tirando and in three different loudnesses. These initial sounds have been analysed using the fractal correlation dimension algorithm, which shows the number of rules, that is the number of perceivable components, governing the sound. It is shown that the sound character of the instruments can be seen within the overall mean values and standard deviations of the different strings, attacks and volumes. The reasons for the different values are mostly inharmonic frequency components in the initial transient caused by resonant frequencies of the body. The minimum energy needed to drive these resonances could be a way for guitar-builders to determine the loudness and presence of their instruments. Also a pre-scratch-sound, the sound of a finger scratching along the string before releasing it, is shown to contain almost the whole overtone structure of the following sound and could be used to pre-determine the pitch or identify the instrument as a guitar. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of New Music Research Taylor & Francis

Characterization of guitars through fractal correlation dimensions of initial transients

Journal of New Music Research , Volume 35 (4): 10 – Dec 1, 2006
10 pages

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References (27)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1744-5027
eISSN
0929-8215
DOI
10.1080/09298210701458843
Publisher site
See Article on Publisher Site

Abstract

Abstract Three guitars are characterized using 96 initial transients each, recorded over four strings, playing with four notes on each string, apoyando and tirando and in three different loudnesses. These initial sounds have been analysed using the fractal correlation dimension algorithm, which shows the number of rules, that is the number of perceivable components, governing the sound. It is shown that the sound character of the instruments can be seen within the overall mean values and standard deviations of the different strings, attacks and volumes. The reasons for the different values are mostly inharmonic frequency components in the initial transient caused by resonant frequencies of the body. The minimum energy needed to drive these resonances could be a way for guitar-builders to determine the loudness and presence of their instruments. Also a pre-scratch-sound, the sound of a finger scratching along the string before releasing it, is shown to contain almost the whole overtone structure of the following sound and could be used to pre-determine the pitch or identify the instrument as a guitar.

Journal

Journal of New Music ResearchTaylor & Francis

Published: Dec 1, 2006

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