Patent ID: 6092042
Filing Date: 2000-07-18
Classification: G10L

Abstract:
A speech recognition method of recognizing unknown input speech expressed as feature vector time series, the method comprising the steps of:storing phoneme symbol series of a plurality of recognition subject words, probabilities of N by N mutual state transitions of N states given sequential numbers with respect to one another and phoneme symbol output probabilities and feature vector output probabilities associated with each of the N.times.N mutual state transitions;calculating probabilities of sets of feature vector time series of unknown input speech and phoneme symbol series of provisional recognition subject words from an ergodic hidden Markov model, the probabilities being logarithmic probabilities computed as a three-dimensional array specified by time as a first dimension, state transition number as a second dimension, and phoneme symbol number as a third dimension; andoutputting a maximum probability word among all the provisional recognition subject words.