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:
Jun. 23, 2026

Filed:

Dec. 09, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Ehsan Amid, Mountain View, CA (US);

Rajiv Mathews, Sunnyvale, CA (US);

Shankar Kumar, New York, NY (US);

Jared Lichtarge, Brooklyn, NY (US);

Mingqing Chen, Saratoga, CA (US);

Tien-Ju Yang, Mountain View, CA (US);

Yuxin Ding, San Francisco, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G10L 15/063 (2013.01);
Abstract

Information can be distilled from a global automatic speech recognition (ASR) model to a client ASR model. Many implementations include using an RNN-T model as the ASR model, where the global ASR model includes a global encoder, a joint network, a prediction network, and where the client ASR model includes a client encoder, the joint network, and the prediction network. Various implementations include using principal component analysis (PCA) while training the global ASR model to learn a mean vector and a set of principal components corresponding to the global ASR model. Additional or alternative implementations include training the client ASR model to generate one or more predicted coefficients of the global ASR model.


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