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. 10, 2026

Filed:

Mar. 31, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Om Dipakbhai Thakkar, San Jose, CA (US);

Hakim Sidahmed, Washington, DC (US);

W. Ronny Huang, Kensington, MD (US);

Rajiv Mathews, Sunnyvale, CA (US);

Françoise Beaufays, Mountain View, CA (US);

Florian Tramèr, Zurich, CH;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 13/02 (2013.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G10L 13/02 (2013.01); G10L 15/063 (2013.01);
Abstract

An unintentional memorization measure can be used to determine whether an automatic speech recognition (ASR) model has unintentionally memorized one or more phrases during training of the ASR model. Various implementations include generating one or more candidate transcripts based on the vocabulary of the ASR model. For example, the system can generate a candidate transcript by appending a token of the vocabulary to a previous candidate transcript. Various implementations include processing the candidate transcript using a speech synthesis model to generate synthesized speech audio data that includes synthesized speech of the candidate transcript. Additionally or alternatively, the synthesized speech audio data can be processed using the ASR model to generate ASR output. Various implementations can include generating a loss based on comparing the ASR output and the candidate transcript.


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