The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 21, 2018

Filed:

Sep. 06, 2015
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventor:

Hagai Aronowitz, Petah-Tikva, IL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/07 (2013.01); G10L 15/14 (2006.01); G10L 25/24 (2013.01); G10L 15/20 (2006.01); G10L 19/02 (2013.01); G10L 17/02 (2013.01);
U.S. Cl.
CPC ...
G10L 15/14 (2013.01); G10L 15/20 (2013.01); G10L 17/02 (2013.01); G10L 19/02 (2013.01); G10L 25/24 (2013.01);
Abstract

According to some embodiments of the present invention there is provided a computerized method for speech processing using a Gaussian Mixture Model. The method comprises the action of receiving by hardware processor(s) two or more covariance values representing relationships between distributions of speech coefficient values that represent two or more audible input speech signals recorded by a microphone. The method comprises the action of computing two or more eigenvectors and eignevalues using a principle component analysis of the covariance values and transforming the speech coefficient values using the eigenvectors and computing two or more second covariance values from the transformed speech coefficient values. The method comprises the action of modifying some of the second covariance values according to the eignevalues, the covariance values, and two or more indices of the speech coefficient values. The second covariance values to the speech processor comprising the Gaussian Mixture Model.


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