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:
Mar. 24, 2026

Filed:

Oct. 19, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Petar Aleksic, Jersey City, NJ (US);

Pedro J. Moreno Mengibar, Jersey City, NJ (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 15/06 (2013.01); G10L 15/07 (2013.01); G10L 15/08 (2006.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01); G10L 15/197 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G10L 15/07 (2013.01); G10L 15/1815 (2013.01); G10L 15/183 (2013.01); G10L 15/197 (2013.01); G10L 15/30 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/088 (2013.01); G10L 2015/228 (2013.01);
Abstract

A computer-implemented method for transcribing an utterance includes receiving, at a computing system, speech data that characterizes an utterance of a user. A first set of candidate transcriptions of the utterance can be generated using a static class-based language model that includes a plurality of classes that are each populated with class-based terms selected independently of the utterance or the user. The computing system can then determine whether the first set of candidate transcriptions includes class-based terms. Based on whether the first set of candidate transcriptions includes class-based terms, the computing system can determine whether to generate a dynamic class-based language model that includes at least one class that is populated with class-based terms selected based on a context associated with at least one of the utterance and the user.


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