Command passwords recognition in complex and strong interference sources

Author

Xueyao, Li ; Juan, Lin ; Chonglin, Yang

Author_Institution

Dept. of Comput. Sci., Harbin Eng. Univ., China

Volume

1

fYear

1999

fDate

1999

Firstpage

543

Abstract

Based on the analysis of the character of Chinese, syllable division and endpoint detection in a high noise environment is achieved using the time-frequency parameter (TFP). Using TFP with RASTA-PLP (Relative Spectral-Perceptual Linear Perception) and SDA (Static, Dynamic and Acceleration), robust speech features are extracted. The differences between classes and the similarities within classes are increased by setting up a multi-value threshold function. In the presence of 80-95 dB noise level recorded in a vessel compartment, the results demonstrate the good performance of the system, and the TOP3 recognition rate of 200 passwords is better than 95%

Keywords

acoustic noise; speech recognition; Chinese; RASTA-PLP; Relative Spectral Perceptual Linear Perception; SDA; Static Dynamic Acceleration features; command password recognition; complex interference; endpoint detection; multivalue threshold function; recognition rate; robust speech features; speech recognition systems; speech technology; strong interference; syllable division; time-frequency parameter; Acoustic noise; Background noise; Computer science; Interference; Loudspeakers; Smoothing methods; Speech enhancement; Speech recognition; Time frequency analysis; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.814150

Filename

814150