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:
Apr. 26, 2016

Filed:

Mar. 07, 2014
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Jian Xue, Sammamish, WA (US);

Jinyu Li, Redmond, WA (US);

Dong Yu, Bothell, WA (US);

Michael L. Seltzer, Seattle, WA (US);

Yifan Gong, Sammamish, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G10L 15/07 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G10L 15/075 (2013.01);
Abstract

The adaptation and personalization of a deep neural network (DNN) model for automatic speech recognition is provided. An utterance which includes speech features for one or more speakers may be received in ASR tasks such as voice search or short message dictation. A decomposition approach may then be applied to an original matrix in the DNN model. In response to applying the decomposition approach, the original matrix may be converted into multiple new matrices which are smaller than the original matrix. A square matrix may then be added to the new matrices. Speaker-specific parameters may then be stored in the square matrix. The DNN model may then be adapted by updating the square matrix. This process may be applied to all of a number of original matrices in the DNN model. The adapted DNN model may include a reduced number of parameters than those received in the original DNN model.


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