Patent ID: 7310599
Filing Date: 2007-12-18
Classification: G10L

Abstract:
1. A method of identifying a clean signal feature vector from a noisy signal feature vector, the method comprising: generating at least two mixture components for a prior probability describing combinations of clean signal feature vectors with obscuring feature vectors, each mixture component being generated by combining at least one distribution of obscuring feature vectors that forms part of a mixture of distributions that describes a prior probability of the obscuring feature vectors with a distribution of clean signal feature vectors that forms part of a mixture of distributions that describes a prior probability of clean signal feature vectors such that a mean for a mixture component formed by the combination comprises a mean for the distribution of obscuring feature vectors and a mean for the distribution of clean signal feature vectors wherein at least one obscuring feature vector is a channel distortion feature vector associated with a first channel and at least one other obscuring feature vector is a channel distortion feature vector associated with a second channel; and using each mixture component of the prior probability and the noisy signal feature vector to identify the clean signal feature vector.