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公开(公告)号：US11705110B2
公开(公告)日：2023-07-18
申请号：US17104601
申请日：2020-11-25
发明人： Kyenghun Lee , Hyeonmok Ko , Kunal Sharma , Raghavendra Hanumantasetty Ramasetty , Jinyeol Kim , Kooktae Choi
CPC分类号： G10L15/063 , G10L15/22 , G10L15/30 , G10L2015/223
摘要： An electronic device and a method for controlling thereof are provided. The electronic device includes a communicator comprising circuitry, a microphone, at least one memory configured to store at least one instruction and dialogue history information, and a processor configured to execute the at least one instruction, and the processor, by executing the at least one instruction, is further configured to determine whether to transmit, to a server storing a first dialogue system, a user speech that is input through the microphone, based on determining that the user speech is transmitted to the server, control the communicator to transmit the user speech and at least a part of the stored dialogue history information to the server, receive, from the server, dialogue history information associated with the user speech, through the communicator, and control the received dialogue history information to be stored in the memory.
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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：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：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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