Title :
Nonparametric method for estimating spoken language sound multivariate probability density function
Author :
Bokal, Zanna M. ; Sinitsyn, Rustem B.
Author_Institution :
Electron. Dept., Nat. Aviation Univ., Kiev
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 are constructed.
Keywords :
nonparametric statistics; probability; signal classification; speech processing; characteristic function estimation; multivariate probability density function; nonparametric algorithms; sound classification; spoken language sound; Classification algorithms; Density functional theory; Filtering; Kernel; Maximum likelihood estimation; Natural languages; Probability density function; Random processes; Random variables; Signal processing;
Conference_Titel :
Microwaves, Radar and Remote Sensing Symposium, 2008. MRRS 2008
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-2688-1
Electronic_ISBN :
978-1-4244-2689-8
DOI :
10.1109/MRRS.2008.4669571