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Proceedings Paper

Kernel estimate of the spoken language sound multivariate probability density function
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Paper Abstract

In the paper a new approach for estimating of the spoken language sound multivariate probability density is suggested. It is based on the use of a projection of a random process to the set of random variables, with the probability density defined as a product of two-dimensional densities. The estimates of two-dimensional probability densities are obtained with the help of filtering of the two-dimensional empirical characteristic function. Therefore, we are suggesting a nonparametric estimate of the characteristic function. On the basis of these estimates nonparametric algorithms of sound classification can be constructed. Examples for the sound probability density function estimates are suggested.

Paper Details

Date Published: 28 December 2007
PDF: 6 pages
Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 693739 (28 December 2007); doi: 10.1117/12.784827
Show Author Affiliations
Zanna M. Bokal, National Aviation Univ. (Ukraine)
Rustem B. Sinitsyn, National Aviation Univ. (Ukraine)


Published in SPIE Proceedings Vol. 6937:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

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