公开(公告)号：US20230177398A1

公开(公告)日：2023-06-08

申请号：US18162218

申请日：2023-01-31

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngho HAN ,  Kwangyoun KIM ,  Sangha KIM ,  Sungchan KIM ,  Sungsoo KIM ,  Kyungmin LEE ,  Yongchan LEE ,  Jaewon LEE

IPC: G06N20/00 ,  G06N5/04

CPC classification number: G06N20/00 ,  G06N5/04

Abstract: An electronic apparatus and a control method thereof are provided. The control method of the electronic apparatus includes receiving, from a first external electronic apparatus and a second external electronic apparatus, a first artificial intelligence model and a second artificial intelligence model used by the first and second external electronic apparatuses, respectively, and a plurality of learning data stored in the first and second external electronic apparatuses, identifying first learning data, which corresponds to second learning data received from the second external electronic apparatus, among learning data received from the first external electronic apparatus, training the second artificial intelligence model used by the second external electronic apparatus based on the first learning data, and transmitting the trained second artificial intelligence model to the second external electronic apparatus.

公开(公告)号：US20200098356A1

公开(公告)日：2020-03-26

申请号：US16577461

申请日：2019-09-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sangha KIM ,  Sungchan KIM ,  Yongchan LEE

IPC: G10L15/20 ,  G10L15/06 ,  G10L15/28 ,  G10L15/22 ,  G10L15/32 ,  G06F3/16 ,  G06F3/048

Abstract: Methods for providing and obtaining data for training and electronic devices thereof are provided. The method for providing data for training includes obtaining first voice data for a voice uttered by a user at a specific time through a microphone of the electronic device and transmitting the voice recognition result to a second electronic device which obtained second voice data for the voice uttered by the user at the specific time, for use as data for training a voice recognition model. In this case, the voice recognition model may be trained using the data for training and an artificial intelligence algorithm such as deep learning.