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:
Jan. 28, 2025

Filed:

Dec. 15, 2021
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Soofeel Kim, Suwon-si, KR;

Jina Ham, Suwon-si, KR;

Yewon Park, Suwon-si, KR;

Wonjong Choi, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 17/18 (2013.01); G06F 3/16 (2006.01); G06F 40/216 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G10L 15/16 (2006.01); G10L 15/22 (2006.01); G10L 17/04 (2013.01); G10L 17/22 (2013.01); G11B 20/10 (2006.01); G10L 15/18 (2013.01); G10L 15/26 (2006.01); G10L 17/00 (2013.01);
U.S. Cl.
CPC ...
G10L 17/18 (2013.01); G06F 3/167 (2013.01); G06F 40/216 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G10L 15/16 (2013.01); G10L 15/22 (2013.01); G10L 17/04 (2013.01); G10L 17/22 (2013.01); G11B 20/10 (2013.01); G10L 15/1822 (2013.01); G10L 15/26 (2013.01); G10L 17/00 (2013.01);
Abstract

An electronic device is provided. The electronic device includes a memory storing recording data including a content of a conversation and at least one instruction, and a processor configured, by executing the at least one instruction, to input first data corresponding to a first voice in the content of the conversation into a first neural network model and acquire category information of the first data, and acquire category information of second data corresponding to a second voice in the content of the conversation. The processor is configured to, based on the category information of the first data and the category information of the second data being different, train the first neural network model based on the category information of the second data and the first data.


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