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:
Nov. 25, 2025

Filed:

Dec. 14, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Quan Wang, Hoboken, NJ (US);

Han Lu, Santa Clara, CA (US);

Evan Clark, San Francisco, CA (US);

Ignacio Lopez Moreno, Brooklyn, NY (US);

Hasim Sak, Santa Clara, CA (US);

Wei Xia, Mountain View, CA (US);

Taral Joglekar, Sunnyvale, CA (US);

Anshuman Tripathi, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01); G10L 2015/0631 (2013.01);
Abstract

A method includes receiving an input audio signal that corresponds to utterances spoken by multiple speakers. The method also includes processing the input audio to generate a transcription of the utterances and a sequence of speaker turn tokens each indicating a location of a respective speaker turn. The method also includes segmenting the input audio signal into a plurality of speaker segments based on the sequence of speaker tokens. The method also includes extracting a speaker-discriminative embedding from each speaker segment and performing spectral clustering on the speaker-discriminative embeddings to cluster the plurality of speaker segments into k classes. The method also includes assigning a respective speaker label to each speaker segment clustered into the respective class that is different than the respective speaker label assigned to the speaker segments clustered into each other class of the k classes.


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