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公开(公告)号：US12125488B2
公开(公告)日：2024-10-22
申请号：US17523367
申请日：2021-11-10
发明人： Jiyoun Hong , Hyeonmok Ko , Dayoung Kwon , Jonggu Kim , Seoha Song , Kyenghun Lee , Hojung Lee , Saebom Jang , Pureum Jung , Changho Paeon
IPC分类号： G10L15/26 , G10L15/16 , G10L15/197
CPC分类号： G10L15/26 , G10L15/16 , G10L15/197
摘要： An electronic apparatus is provided. The electronic apparatus includes a microphone, a memory storing at least one instruction, and a processor connected to the microphone and the memory configured to control the electronic apparatus, and the processor, by executing the at least one instruction, may, based on receiving a user voice signal through the microphone, obtain a text corresponding to the user voice signal, identify a plurality of sentences included in the obtained text, identify a domain corresponding to each of the plurality of sentences among a plurality of domains, based on a similarity of a first sentence and a second sentence, among the plurality of sentences, having a same domain being greater than or equal to a threshold value, obtain a third sentence in which the first sentence and the second sentence are combined by using a first neural network model, and perform natural language understanding for the third sentence.
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公开(公告)号：US11532305B2
公开(公告)日：2022-12-20
申请号：US16913310
申请日：2020-06-26
发明人： Eunji Lee , Hyeonmok Ko , Kyenghun Lee , Saebom Jang , Pureum Jung , Sungja Choi , Changho Paeon , Jiyeon Hong , Inchul Hwang
IPC分类号： G10L15/00 , G10L15/22 , G10L15/18 , G10L15/183 , G10L15/30
摘要： An electronic apparatus is provided. The electronic apparatus includes: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: obtain usage information on an application installed in the electronic apparatus, obtain a natural language understanding model, among a plurality of natural language understanding models, corresponding to the application based on the usage information, perform natural language understanding of a user voice input related to the application based on the natural language understanding model corresponding to the application, and perform an operation of the application based on the preformed natural language understanding.
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公开(公告)号：US20210056967A1
公开(公告)日：2021-02-25
申请号：US16897427
申请日：2020-06-10
摘要： Disclosed are an electronic device capable of efficiently performing speech recognition and natural language understanding and a method for controlling thereof. The electronic device includes: a microphone; a non-volatile memory configured to store virtual assistant model data comprising data that is classified according to a plurality of domains and data that is commonly used for the plurality of domains; a volatile memory; and a processor configured to: based on receiving, through the microphone, a trigger input to perform speech recognition for a user speech, initiate loading the virtual assistant model data from the non-volatile memory into the volatile memory, load, into the volatile memory, first data from among the data classified according to the plurality of domains and, while loading the first data into the volatile memory, load at least a part of the data commonly used for the plurality of domains into the volatile memory.
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公开(公告)号：US12080289B2
公开(公告)日：2024-09-03
申请号：US17486252
申请日：2021-09-27
发明人： Hyeonmok Ko , Dayoung Kwon , Jonggu Kim , Seoha Song , Kyenghun Lee , Hojung Lee , Saebom Jang , Pureum Jung , Changho Paeon , Jiyeon Hong
CPC分类号： G10L15/22 , G06N3/045 , G10L15/063 , G10L15/26 , G10L15/30 , G10L2015/223
摘要： Disclosed is an electronic apparatus. The electronic apparatus includes: a communication interface, a memory, and a processor connected to the memory and the communication interface, the processor configured to control the electronic apparatus to, based on receiving a speech related to a function of the electronic apparatus, obtain text information corresponding to the received speech, control the communication interface to transmit the obtained text information to a server including a first neural network model corresponding to the function, execute the function based on response information received from the server, and based on identifying that an update period of the first neural network model is greater than or equal to a first threshold period based on the information related to the function of the electronic apparatus, the electronic apparatus may receive the information about the first neural network model from the server and store the information in the memory.
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公开(公告)号：US11367441B2
公开(公告)日：2022-06-21
申请号：US16671536
申请日：2019-11-01
发明人： Yeonho Lee , Kyenghun Lee , Saebom Jang , Silas Jeon
摘要： An electronic apparatus and a control method thereof are provided. A method of controlling an electronic apparatus according to an embodiment of the disclosure includes: receiving input of a first utterance, identifying a first task for the first utterance based on the first utterance, providing a response to the first task based on a predetermined response pattern, receiving input of a second utterance, identifying a second task for the second utterance based on the second utterance, determining the degree of association between the first task and the second task, and setting a response pattern for the first task based on the second task based on the determined degree of association satisfying a predetermined condition. The control method of an electronic apparatus may use an artificial intelligence model trained according to at least one of machine learning, a neural network, or a deep learning algorithm.
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公开(公告)号：US11967325B2
公开(公告)日：2024-04-23
申请号：US18148693
申请日：2022-12-30
CPC分类号： G10L15/22 , G10L15/285 , G10L15/34 , G10L15/02 , G10L15/30
摘要： Disclosed are an electronic device capable of efficiently performing speech recognition and natural language understanding and a method for controlling thereof. The electronic device includes: a microphone; a non-volatile memory configured to store virtual assistant model data comprising data that is classified according to a plurality of domains and data that is commonly used for the plurality of domains; a volatile memory; and a processor configured to: based on receiving, through the microphone, a trigger input to perform speech recognition for a user speech, initiate loading the virtual assistant model data from the non-volatile memory into the volatile memory, load, into the volatile memory, first data from among the data classified according to the plurality of domains and, while loading the first data into the volatile memory, load at least a part of the data commonly used for the plurality of domains into the volatile memory.
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公开(公告)号：US11915691B2
公开(公告)日：2024-02-27
申请号：US17510454
申请日：2021-10-26
发明人： Dayoung Kwon , Hyeonmok Ko , Jonggu Kim , Seoha Song , Kyenghun Lee , Hojung Lee , Saebom Jang , Pureum Jung , Changho Paeon , Jiyeon Hong
摘要： An electronic apparatus includes a communication interface; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: receive a text corresponding to a user utterance and information regarding a first external device; obtain a plurality of weights of a plurality of elements related to the first external device; identify a second external device for obtaining response information; control the communication interface to transmit the text corresponding to the user utterance to the second external device; receive first response information regarding the user utterance from the second external device; obtain second response information; and control the communication interface to transmit the second response information to the first external device.
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公开(公告)号：US11842735B2
公开(公告)日：2023-12-12
申请号：US17828216
申请日：2022-05-31
发明人： Yeonho Lee , Kyenghun Lee , Saebom Jang , Silas Jeon
CPC分类号： G10L15/22 , G10L15/30 , G10L2015/227
摘要： An electronic apparatus and a control method thereof are provided. A method of controlling an electronic apparatus according to an embodiment of the disclosure includes: receiving input of a first utterance, identifying a first task for the first utterance based on the first utterance, providing a response to the first task based on a predetermined response pattern, receiving input of a second utterance, identifying a second task for the second utterance based on the second utterance, determining the degree of association between the first task and the second task, and setting a response pattern for the first task based on the second task based on the determined degree of association satisfying a predetermined condition. The control method of an electronic apparatus may use an artificial intelligence model trained according to at least one of machine learning, a neural network, or a deep learning algorithm.
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公开(公告)号：US20230083230A1
公开(公告)日：2023-03-16
申请号：US17984286
申请日：2022-11-10
发明人： Eunji LEE , Hyeonmok Ko , Kyenghun Lee , Saebom Jang , Pureum Jung , Sungja Choi , Changho Paeon , Jiyeon Hong , Inchul Hwang
IPC分类号： G10L15/22 , G10L15/18 , G10L15/183 , G10L15/30
摘要： An electronic apparatus is provided. The electronic apparatus includes: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: obtain usage information on an application installed in the electronic apparatus, obtain a natural language understanding model, among a plurality of natural language understanding models, corresponding to the application based on the usage information, perform natural language understanding of a user voice input related to the application based on the natural language understanding model corresponding to the application, and perform an operation of the application based on the preformed natural language understanding.
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公开(公告)号：US11545149B2
公开(公告)日：2023-01-03
申请号：US16897427
申请日：2020-06-10
摘要： Disclosed are an electronic device capable of efficiently performing speech recognition and natural language understanding and a method for controlling thereof. The electronic device includes: a microphone; a non-volatile memory configured to store virtual assistant model data comprising data that is classified according to a plurality of domains and data that is commonly used for the plurality of domains; a volatile memory; and a processor configured to: based on receiving, through the microphone, a trigger input to perform speech recognition for a user speech, initiate loading the virtual assistant model data from the non-volatile memory into the volatile memory, load, into the volatile memory, first data from among the data classified according to the plurality of domains and, while loading the first data into the volatile memory, load at least a part of the data commonly used for the plurality of domains into the volatile memory.
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