DocumentCode
3037038
Title
Recognition results for several experimental acoustic processors
Author
Bahl, L.R. ; Bakis, R. ; Cohen, P.S. ; Cole, A.G. ; Jelinek, F. ; Lewis, B.L. ; Mercer, R.L.
Author_Institution
IBM T. J. Watson Research Center, Yorktown Heights, NY
Volume
4
fYear
1979
fDate
28946
Firstpage
249
Lastpage
251
Abstract
The statistical training and decoding procedures developed at IBM Research can be used with a wide variety of acoustic processors. We have recently (July and August 1978) achieved error-free or nearly error-free decoding results with several different acoustic processors on sentences from the New Raleigh Language (vocabulary 250 words, perplexity 7.27 words). One of these processors, which achieved a 0% error rate on New Raleigh sentences, has been used to decode sentences from the New Raleigh Language without the benefit of syntactic guidance during the decoding process. On this much more difficult task, it has achieved an error rate of 8.8% at the word level, corresponding to a sentence error rate of 53%. All of these processors are non-segmenting processors which produce output once every 10ms.
Keywords
Computer errors; Covariance matrix; Decoding; Error analysis; Gaussian processes; Humans; Prototypes; Signal processing algorithms; Speech processing; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
Type
conf
DOI
10.1109/ICASSP.1979.1170736
Filename
1170736
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