Patent ID: 6490555
Filing Date: 2002-12-03
Classification: G10L

Abstract:
A method of a continuous speech recognition system for discriminatively training hidden Markov models for a system recognition vocabulary, the method comprising:converting an input word phrase into a sequence of representative frames; determining a correct state sequence alignment with the sequence of representative frames, the correct state sequence alignment corresponding to models of words in the input word phrase; determining a plurality of incorrect recognition hypotheses representing words in the recognition vocabulary that do not correspond to the input word phrase, each hypothesis being a state sequence based on the word models in an acoustic model database; selecting a correct segment of the correct word model state sequence alignment for discriminative training; determining a frame segment of frames in the sequence of representative frames that corresponds to the correct segment; selecting an incorrect segment of a state sequence in an incorrect recognition hypothesis, the incorrect segment corresponding to the frame segment; performing a discriminative adjustment on selected states in the correct segment and the corresponding states in the incorrect segment.