DocumentCode :
3342712
Title :
Acoustics-only based automatic phonetic baseform generation
Author :
Ramabhadran, Bhuvana ; Bahl, L.R. ; deSouza, P.V. ; Padmanabhan, M.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume :
1
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
309
Abstract :
Phonetic baseforms are the basic recognition units in most speech recognition systems. These baseforms are usually determined by linguists once a vocabulary is chosen and not modified thereafter. However, several applications, such as name dialing, require the user be able to add new words to the vocabulary. These new words are often names, or task-specific jargon, that have user-specific pronunciations. This paper describes a novel method for generating phonetic transcriptions (baseforms) of words based on acoustic evidence alone. It does not require either the spelling or any prior acoustic representation of the new word, is vocabulary independent, and does not have any linguistic constraints (pronunciation rules). Our experiments demonstrate the high decoding accuracies obtained when baseforms deduced using this approach are incorporated into our speech recognizer. Also, the error rates on the added words were found to be comparable to or better than when the baseforms were derived by hand
Keywords :
acoustic signal processing; decoding; linguistics; natural languages; speech recognition; acoustic evidence; automatic phonetic baseform generation; decoding accuracies; error rates; experiments; linguists; name dialing; new words; phonetic baseforms; phonetic transcriptions; recognition units; speech recognition systems; speech recognizer; task-specific jargon; user-specific pronunciations; vocabulary; vocabulary independent method; Automatic speech recognition; Decoding; Error analysis; Loudspeakers; Speech recognition; Telephony; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.674429
Filename :
674429
Link To Document :
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