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:
Aug. 17, 2021

Filed:

Sep. 18, 2018
Applicants:

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

Seoul National University R&db Foundation, Seoul, KR;

Inventors:

Sangha Park, Seoul, KR;

Namsoo Kim, Seoul, KR;

Hyungyong Kim, Seoul, KR;

Sungchan Kang, Hwaseong-si, KR;

Cheheung Kim, Yongin-si, KR;

Yongseop Yoon, Seoul, KR;

Choongho Rhee, Anyang-si, KR;

Hyeokki Hong, Suwon-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 17/00 (2013.01); G10L 17/18 (2013.01); G06N 3/08 (2006.01); G10L 17/06 (2013.01); G06N 3/04 (2006.01); G10L 25/30 (2013.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 15/16 (2006.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 17/18 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G10L 17/00 (2013.01); G10L 17/06 (2013.01); G10L 25/30 (2013.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01);
Abstract

Provided are a neural network device and a method of operation thereof. The neural network device for speaker recognition may include: a memory configured to store one or more instructions; and a processor configured to generate a trained second neural network by training a first neural network, for separating a mixed voice signal into individual voice signals by executing the one or more instructions, generate a second neural network by adding at least one layer to the trained first neural network, and generate a trained second neural network by training the second neural network, for separating the mixed voice signal into the individual voice signals and for recognizing a speaker of each of the individual voice signals.


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