DocumentCode
1498727
Title
Sigmoidal spectral conversion with changeable dynamic region for speech feature extraction
Author
Oh, Kwang Cheol ; Lee, Hwang Soo
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Volume
35
Issue
2
fYear
1999
fDate
1/21/1999 12:00:00 AM
Firstpage
125
Lastpage
126
Abstract
A noise-resistant feature extraction method for speech recognition in adverse conditions is presented. The proposed method converts the speech spectrum by adjusting the dynamic region of the spectrum based on the level dependent property of auditory nerves. With this method, it is possible to alleviate the problems caused by shrunken spectral dynamic region from heavy background noise
Keywords
feature extraction; interference suppression; noise; speech recognition; adverse conditions; auditory nerves; changeable dynamic region; heavy background noise; level dependent property; noise-resistant feature extraction method; sigmoidal spectral conversion; speech feature extraction; speech recognition; speech spectrum conversion;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990120
Filename
758003
Link To Document