Title :
A performance comparison of robust speech analysis methods in noisy environments
Author :
Shimamura, Tetsuya
Author_Institution :
Dept. of Inf. & Comput. Sci., Saitama Univ., Urawa, Japan
Abstract :
Various speech analysis methods are compared from the points of view of robustness against noise. Computer simulations reveal that the most robust method is the instrumental variable method involving an input estimation technique based on thresholding the amplitude of a modified prediction error sequence
Keywords :
linear predictive coding; noise; prediction theory; speech processing; stability; amplitude; input estimation technique; instrumental variable method; modified prediction error sequence; noisy environments; performance comparison; robust method; robust speech analysis methods; robustness; speech analysis methods; thresholding; Additive noise; Filters; Instruments; Linear predictive coding; Noise figure; Noise robustness; Speech analysis; Speech enhancement; White noise; Working environment noise;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925342
