DocumentCode
1330061
Title
Noise-robust speech recognition by discriminative adaptation in parallel model combination
Author
Chung, Yong-Joo
Author_Institution
Fac. of Comput. & Electron. Eng., Keimyung Univ., Daegu, South Korea
Volume
36
Issue
4
fYear
2000
fDate
2/17/2000 12:00:00 AM
Firstpage
370
Lastpage
371
Abstract
A discriminative adaptation method for parallel model combination (PMC) is proposed. For the adaptation, a modified version of PMC is adopted and the association factor defined in this variant is discriminatively adapted based on the generalised probabilistic descent (GPD) method. The proposed method is shown to be very effective at improving the recognition performances under extreme noise conditions with a small amount of adaptation data
Keywords
adaptive signal detection; parameter estimation; speech recognition; adaptation data; association factor; discriminative adaptation; extreme noise conditions; generalised probabilistic descent; noise-robust speech recognition; parallel model combination; recognition performances;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000277
Filename
840268
Link To Document