DocumentCode :
2996477
Title :
Decoder selection based on cross-entropies
Author :
Gopalakrishnan, P.S. ; Kanevsky, Dimitri ; Nadas, A. ; Nahamoo, David ; Picheny, M.A.
Author_Institution :
Dept. of Comput. Sci., IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
20
Abstract :
The authors generalize the maximum likelihood and related optimization criteria for training and decoding with a speech recognizer. The generalizations are constructed by considering weighted linear combinations of the logarithms of the likelihoods of words, of acoustics, and of (word, acoustic) pairs. The utility of various patterns of weights are examined
Keywords :
codes; decoding; optimisation; speech recognition; acoustics; cross-entropies; decoder selection; decoding; logarithms; maximum likelihood techniques; optimisation criteria; speech recognition; weighted linear combinations; words; Acoustics; Computer science; Error analysis; Maximum likelihood decoding; Maximum likelihood estimation; Mutual information; Probability distribution; Random variables; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196499
Filename :
196499
Link To Document :
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