DocumentCode :
290001
Title :
Which model for future speech recognition systems: hidden Markov models or finite-state automata?
Author :
Di Martino, J. ; Mari, J.-F. ; Mathieu, B. ; Perot, K. ; Smaili, K.
Author_Institution :
CRIN-INRIA Lorraine, Vandoeuvre-les-Nancy, France
Volume :
i
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
Representation of speech using hidden Markov models is compared with a representation based on finite-state automata. Experimental results are presented for both methods and the respective advantages and disadvantages discussed
Keywords :
automata theory; finite automata; hidden Markov models; speech recognition; HMM; experimental results; finite-state automata; hidden Markov models; speech recognition systems; speech representation; Automata; Hidden Markov models; Prototypes; Speech recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389214
Filename :
389214
Link To Document :
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