Patent
1993-09-01
1996-03-26
MacDonald, Allen R.
G10L 900
Patent
active
055027911
ABSTRACT:
Analysis of a word input from a speech input device 1 for its features is made by a feature extractor 4 to obtain a feature vector sequence corresponding to said word, or to obtain a label sequence by applying a further transformation in a labeler 8. Fenonic hidden Markov models for speech transformation candidates are combined with N-gram probabilities (where N is all integer greater than or equal to 2) to produce models of words. The recognizer determines the probability that the speech model composed for each candidate word would output the label sequence or feature vector sequence input as speech, and outputs the candidate word corresponding to the speech model having the highest probability to a display 19.
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Nishimura Masafumi
Okochi Masaaki
International Business Machines - Corporation
MacDonald Allen R.
Sartori Michael A.
Schechter Marc D.
Tassinari, Jr. Robert P.
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