NONPARAMETRIC METHOD FOR ESTIMATING THE SPOKEN LANGUAGE SOUND MULTIVARIATE PROBABILITY DENSITY FUNCTION
DOI:
https://doi.org/10.18372/2306-1472.29.1369Abstract
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 are constructed. Examples for the sound probability density function estimates are suggested.
References
Бабак В.П., Белецкий А.Я., Приставка А.Ф., Приставка Ф.А. Стохастические сигналы и спектры. – К.: КИТ, 2004. – 290 с.
Sinitsyn R.B., Braun I.M., Yanovsky F.J., Nonparametric Detection of Inhomogeneous Areas in Clouds // Conf. Proc. The 11th Conf. on Microwave Technique COMITE 2001, September 18–19, 2001. – University of Pardubice, the Czech Republic. – P. 77–81.
Sinitsyn R.B., Yanovsky F.J. Kernel Estimates of the Characteristic Function for Radar Signal Detection // European Microwave Week 2005 Conf. Proc., European Radar Conf. 2005. – Paris, October 3–7, 2005. – Horizon House Publications, London. – P. 53–56.
