DocumentCode
2979389
Title
Discriminative model combination
Author
Beyerlein, Peter
Author_Institution
Philips Res. Lab., Aachen, Germany
fYear
1997
fDate
14-17 Dec 1997
Firstpage
238
Lastpage
245
Abstract
Discriminative model combination is a new approach in the field of automatic speech recognition. It aims at an optimal integration of all given (acoustic and language) models into one log-linear posterior probability distribution. As opposed to the maximum entropy approach, the coefficients of the log-linear combination are estimated on training samples using discriminative methods to obtain an optimal classifier
Keywords
modelling; pattern classification; probability; speech recognition; acoustic models; automatic speech recognition; coefficient estimation; discriminative model combination; language models; log-linear posterior probability distribution; optimal classifier; optimal model integration; training samples; Automatic speech recognition; Entropy; Error analysis; Humans; Laboratories; Parameter estimation; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-7803-3698-4
Type
conf
DOI
10.1109/ASRU.1997.659011
Filename
659011
Link To Document