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公开(公告)号：US11501089B2
公开(公告)日：2022-11-15
申请号：US16838447
申请日：2020-04-02
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jiwan Kim , Seungsoo Kang , Jongyoub Ryu , Soyoon Park , Sangha Kim , Hakjung Kim , Myungjin Eom
IPC: G10L15/00 , G06F40/44 , G10L15/22 , G06F40/58 , G06F3/16 , G10L15/06 , G06F16/332 , G06F40/40 , G10L15/18 , G06F40/279 , G06F40/30 , G06F40/47 , G06F40/51
Abstract: An electronic device and a method for controlling the electronic device thereof are provided. The electronic device includes a memory storing instructions, and a processor configured to control the electronic device by executing the instructions stored in the memory, and the processor is configured to, based on a user's speech being input, acquire a first sentence in a first language corresponding to the user's speech through a speech recognition model corresponding to a language of the user's speech, acquire a second sentence in a second language corresponding to the first sentence in the first language through a machine translation model trained to translate a plurality of languages into the predefined second language, and acquire a control instruction of the electronic device corresponding to the acquired second sentence or acquire a response to the second sentence through a natural language understanding model trained based on the second language.
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公开(公告)号：US11315553B2
公开(公告)日：2022-04-26
申请号：US16577461
申请日：2019-09-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sangha Kim , Sungchan Kim , Yongchan Lee
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.
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Patent Agency Ranking
公开(公告)号：US12001808B2
公开(公告)日：2024-06-04
申请号：US17435995
申请日：2021-08-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Yoonjung Choi , Sangha Kim , Hakjung Kim , Yoonjin Yoon , Seokchan Ahn
IPC: G06F40/58 , G06F40/44 , G10L15/183 , G10L21/04 , G10L25/87
CPC classification number: G06F40/58 , G10L21/04 , G10L25/87 , G06F40/44 , G10L15/183
Abstract: A method is provided. The method includes receiving a speech input in a first language from a first device; obtaining, by using an artificial intelligence (AI) model, an estimated interpretation time that indicates a time expected to be required to interpret the speech input in the first language into a second language; transmitting, based on the estimated interpretation time, interpretation situation information to at least one of the first device or a second device; interpreting the speech input in the first language into the second language; and transmitting, to the second device a result of the interpreting of the speech input into the second language.
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公开(公告)号：US11631400B2
公开(公告)日：2023-04-18
申请号：US16786654
申请日：2020-02-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Beomseok Lee , Sangha Kim , Yoonjin Yoon
Abstract: An electronic apparatus configured to acquire information on a plurality of candidate texts corresponding to input speech of a user through a general speech recognition module, determine text corresponding to the input speech from among the plurality of candidate texts using a trained personal language model, and output the text as a result of speech recognition of the input speech.
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公开(公告)号：US20240160862A1
公开(公告)日：2024-05-16
申请号：US18369584
申请日：2023-09-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Joonghoon KIM , Sangha Kim , Jiwan Kim , Sangil Park , Sohyun Park , Taehwan Yoo
IPC: G06F40/58 , G06F40/253
CPC classification number: G06F40/58 , G06F40/253
Abstract: An electronic apparatus includes a memory configured to store instructions, and a processor configured to execute the instructions to receive a text of a first language, generate, based on the text of the first language, style information indicating a translation style to be applied to the text of the first language and machine-translate the text of the first language into text of a second language based on the generated style information.
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公开(公告)号：US11586977B2
公开(公告)日：2023-02-21
申请号：US16593589
申请日：2019-10-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： Youngho Han , Kwangyoun Kim , Sangha Kim , Sungchan Kim , Sungsoo Kim , Kyungmin Lee , Yongchan Lee , Jaewon Lee
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.
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公开(公告)号：US11880754B2
公开(公告)日：2024-01-23
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
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.
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