DocumentCode :
294638
Title :
A tree search strategy for large-vocabulary continuous speech recognition
Author :
Gopalakrishnan, P.S. ; Bahl, L.R. ; Mercer, R.L.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume :
1
fYear :
1995
fDate :
9-12 May 1995
Firstpage :
572
Abstract :
We describe a tree search strategy, called the Envelope Search, which is a time-asynchronous search scheme that combines aspects of the A* heuristic search algorithm with those of the time-synchronous Viterbi search algorithm. This search technique is used in the large-vocabulary continuous speech recognition system developed at the IBM Research Center
Keywords :
maximum likelihood estimation; natural languages; speech processing; speech recognition; tree searching; A* heuristic search algorithm; Envelope Search; IBM Research Center; language models; large-vocabulary continuous speech recognition; time-asynchronous search; time-synchronous Viterbi search algorithm; tree search; Cost function; Iterative decoding; Speech recognition; Terminology; Viterbi algorithm; Vocabulary; Yttrium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
ISSN :
1520-6149
Print_ISBN :
0-7803-2431-5
Type :
conf
DOI :
10.1109/ICASSP.1995.479662
Filename :
479662
Link To Document :
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