Patent ID: 7634404
Filing Date: 2009-12-15
Classification: G10L

Abstract:
1. A speech recognition system for identifying words from a series of observed feature vectors each representing a single respective frame of speech, the system comprising: a feature extraction module which produces the series of feature vectors that are obtained from each frame of input speech; a segment model providing a trajectory parameter matrix and a covariance matrix for each of a set of segment states; and a processor identifying a most likely sequence of words represented by the series of observed feature vectors, based on a feature probability that is determined in part based on differences between a sequence of observed feature vectors and a product of the segment model's trajectory parameter matrix for a state and a trajectory generation matrix wherein the feature probability represents the probability of the sequence of feature vectors given the trajectory parameter matrix and the covariance matrix of the segment model, and wherein the feature probability is determined without fitting a curve to the series of observed feature vectors.