DocumentCode
3129587
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
fYear
2001
fDate
2001
Firstpage
103
Lastpage
106
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISIMP.2001.925342
Filename
925342
Link To Document