DocumentCode
1498561
Title
Missing data techniques using voicing probability for robust automatic speech recognition
Author
Kim, L.Y. ; Cho, H.Y. ; Oh, Y.H.
Author_Institution
Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
Volume
37
Issue
11
fYear
2001
fDate
5/24/2001 12:00:00 AM
Firstpage
723
Lastpage
724
Abstract
The authors propose a new method for detecting missing data by utilising voicing probability under a missing data theory. With the same level of distortion, people fail to recognise vowels more frequently than consonants. From this observation, we propose that consonants should not be classified into missing data. The experimental results showed that our method significantly improves the performance for isolated word recognition under various noise environments
Keywords
probability; speech recognition; consonants; distortion; isolated word recognition; missing data detection; missing data theory; noise environments; robust automatic speech recognition; voicing probability; vowel recognition;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20010470
Filename
926467
Link To Document