US 6,985,858 B2 · Method and apparatus for removing noise from feature vectors

Abstract

A method and computer-readable medium are provided for identifying clean signal feature vectors from noisy signal feature vectors. The method is based on variational inference techniques. One aspect of the invention includes using an iterative approach to identify the clean signal feature vector. Another aspect of the invention includes using the variance of a set of noise feature vectors and/or channel distortion feature vectors when identifying the clean signal feature vectors. Further aspects of the invention use mixtures of distributions of noise feature vectors and/or channel distortion feature vectors when identifying the clean signal feature vectors. Additional aspects of the invention include using a variance for the noisy signal feature vector conditioned on fixed values of noise, channel transfer function, and clean speech, when identifying the clean signal feature vector.

Claims8

Dependent claims

A computer storage medium having computer-executable instructions for performing steps comprising:

accessing a noisy signal feature vector;
accessing at least one distribution of training feature vectors;
determining a variance for the noisy signal feature vector, comprising:
applying feature vectors to a function to produce a calculated noisy signal feature vector;
accessing an observed noisy signal feature vector;
and
comparing the calculated noisy signal feature vector to the observed noisy signal feature vector to produce the variance for the noisy signal feature vector;
and
identifying a clean signal feature vector from the noisy signal feature vector, the distribution of training feature vectors and the variance for the noisy signal feature vector.

6 more elements

Dependencies are inferred from the claim text.

Method and apparatus for removing noise from feature vectors

Life of this patent

Method and apparatus for removing noise from feature vectors

Life of this patent

Abstract

Claims8