Integrated polispectrum on speech recognition

Author

Moreno, Asunciòn ; Rutllán, Miquel

Author_Institution

Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain

Volume

2

fYear

1996

fDate

3-6 Oct 1996

Firstpage

1281

Abstract

The paper deals with the application of higher order statistics (HOS) in a recognition system where the speech input is corrupted by noise. Cumulants, bispectrum and trispectrum are being used in noisy speech signal processing because of their immunity to noise. The authors introduce the use of integrated polispectrum and trispectrum in a recognition system based on a filter bank analysis. The results improve other HOS based methods without a substantial increase of the computational load

Keywords

acoustic filters; higher order statistics; spectral analysis; speech recognition; bispectrum; computational load; cumulants; filter bank analysis; higher order statistics; integrated polispectrum; integrated trispectrum; noise immunity; noise-corrupted speech input; noisy speech signal processing; speech recognition; trispectrum; Filter bank; Fourier transforms; Frequency estimation; Gaussian noise; Higher order statistics; Physics computing; Speech analysis; Speech enhancement; Speech processing; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-3555-4

Type

conf

DOI

10.1109/ICSLP.1996.607844

Filename

607844