System and method for speech recognition using dynamically adjus

Details System and method for speech recognition using dynamically adjus System and method for speech recognition using dynamically adjus

1995-05-26

1998-01-20

Tsang, Fan

395 255, G10L 900

Patent

active

057108668

ABSTRACT:
A computer-implemented method of recognizing an input speech utterance compares the input speech utterance to a plurality of hidden Markov models to obtain a constrained acoustic score that reflects the probability that the hidden Markov model matches the input speech utterance. The method computes a confidence measure for each hidden Markov model that reflects the probability of the constrained acoustic score being correct. The computed confidence measure is then used to adjust the constrained acoustic score. Preferably, the confidence measure is computed based on a difference between the constrained acoustic score and an unconstrained acoustic score that is computed independently of any language context. In addition, a new confidence measure preferably is computed for each input speech frame from the input speech utterance so that the constrained acoustic score is adjusted for each input speech frame.

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Bahl et al., "Decision Trees for Phonological Rules in Continuous Speech," IEEE International Conference on Acoustics, Speech, and Signal Processing, 1991.
Hon et al., "CMU Robust Vocabulary-Indpendent Speech Recognition System," IEEE International Conference on Acousticc, Speech, and Signal Processing, 1991.

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