DocumentCode :
1901743
Title :
Automatic phonetic baseform determination
Author :
Bahl, L.R. ; Das, S. ; deSouza, P.V. ; Epstein, M. ; Mercer, R.L. ; Merialdo, B. ; Nahamoo, D. ; Picheny, M.A. ; Powell, J.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
173
Abstract :
The authors describe a series of experiments in which the phonetic baseform is deduced automatically for new words by utilizing actual utterances of the new word in conjunction with a set of automatically derived spelling-to-sound rules. Recognition performance was evaluated on new words spoken by two different speakers when the phonetic baseforms were extracted via the above approach. The error rates on these new words were found to be comparable to or better than when the phonetic baseforms were derived by hand, thus validating the basic approach
Keywords :
acoustic signal processing; speech recognition; error rates; recognition performance; speech recognition; spelling-to-sound rules; Dictionaries; Speech recognition; Speech synthesis; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150305
Filename :
150305
Link To Document :
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