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
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