Kernel estimate of the spoken language sound multivariate probability density function

Zanna M. Bokal; Rustem B. Sinitsyn

doi:10.1117/12.784827

28 December 2007 Kernel estimate of the spoken language sound multivariate probability density function

Zanna M. Bokal, Rustem B. Sinitsyn

Proceedings Volume 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007; 693739 (2007) https://doi.org/10.1117/12.784827
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 2007, Wilga, Poland

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.

Citation Download Citation

Zanna M. Bokal and Rustem B. Sinitsyn "Kernel estimate of the spoken language sound multivariate probability density function", Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 693739 (28 December 2007); https://doi.org/10.1117/12.784827

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