DocumentCode
1280977
Title
Discriminative temporal feature extraction for robust speech recognition
Author
Shen, Jia-Lin
Author_Institution
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Volume
33
Issue
19
fYear
1997
fDate
9/11/1997 12:00:00 AM
Firstpage
1598
Lastpage
1600
Abstract
A discriminative temporal feature processing method for robust speech recognition is presented by combining the knowledge and the statistical methods. The cepstral features are first filtered by a RASTA method based on human hearing perception and then processed using the minimum classification error algorithm. Improved recognition performance can be achieved in both quiet and noisy environments
Keywords
cepstral analysis; feature extraction; hearing; pattern classification; speech recognition; RASTA method; cepstral features; discriminative temporal feature extraction; human hearing perception; minimum classification error; noisy environments; recognition performance; robust speech recognition; statistical methods;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19971079
Filename
629578
Link To Document