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:
Feb. 04, 2025

Filed:

Jan. 30, 2022
Applicant:

Gong.io Ltd., Ramat Gan, IL;

Inventors:

Eilon Reshef, Tel Aviv, IL;

Hanan Shteingart, Herzliya, IL;

Zohar Shay, Even Yehuda, IL;

Shlomi Medalion, Ramat Gan, IL;

Assignee:

GONGIO Ltd., Ramat-Gan, IL;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 17/06 (2013.01); G06V 30/19 (2022.01); G06V 40/16 (2022.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 17/18 (2013.01); H04L 65/403 (2022.01); G10L 21/028 (2013.01);
U.S. Cl.
CPC ...
G10L 17/06 (2013.01); G06V 30/19 (2022.01); G06V 40/172 (2022.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 17/18 (2013.01); H04L 65/403 (2013.01); G10L 21/028 (2013.01);
Abstract

A method for audio processing includes receiving a recording of a teleconference among multiple participants over a network, including an audio stream containing speech uttered by the participants and information outside the audio stream. The method further includes processing the audio stream to identify speech segments interspersed with intervals of silence, extracting speaker identifications from the information outside the audio stream in the received recording, labeling a first set of the identified speech segments from the audio stream with the speaker identifications, extracting acoustic features from the speech segments in the first set, learning a correlation between the speaker identifications labelled to the segments in the first set and the extracted acoustic features, and labeling a second set of the identified speech segments using the learned correlation, to indicate the participants who spoke during the speech segments in the second set.


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