Patent ID: 6947890
Filing Date: 2005-09-20
Classification: G10L

Abstract:
1. A method for speech recognition, comprising the steps of: preparing training data representing acoustic parameters of each of phonemes at each time frame, the training date being represented by a distribution function; receiving an input signal representing a sound to be recognized and converting the input signal to input data; comparing the input data at each frame with the distribution function representing the training data of each of the phonemes to derive a similarity measure of the input data with respect to each of the phonemes; processing the similarity measures obtained in the comparing step using a neural net model differential equations governing development of time-dependent activities of plural cells to conduct speech recognition of the input signal, each cell being associated with one respective phoneme and one frame, the step including numerically and recurrently solving coupled differential pattern recognition equations to produce a cell having the highest activity at each of the frames, the couple differential pattern recognition equations being such that a time-dependent development of the activity of each cell at each frame in the neural net model is dependent upon the similarity measured and is suppressed by the activities of other cells on the same frame corresponding to different phonemes, the time-dependent development of the activity of each cell at each frame is enhanced by the activities of other cells corresponding to the same phoneme at different frames, and the phoneme of a cell that has developed the highest activity is determined as a winner at the corresponding frame to produce a list of winners at respective frames; and outputting a phoneme as a recognition result for the input signal in accordance with the list of the winners at the respective frames that have been determined in the step of processing.