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    ELECTRONIC DEVICE FOR CORRECTING SPEECH INPUT OF USER AND OPERATING METHOD THEREOF
    11.
    发明申请
    ELECTRONIC DEVICE FOR CORRECTING SPEECH INPUT OF USER AND OPERATING METHOD THEREOF 有权

    公开(公告)号：US20220284887A1

    公开(公告)日：2022-09-08

    申请号：US17536890

    申请日：2021-11-29

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jongsun LEE ,  Jongyoub RYU ,  Seonghan RYU ,  Eunji LEE ,  Jaechul YANG ,  Hyungtak CHOI

    IPC: G10L15/18 ,  G10L15/22 ,  G06F40/30 ,  G06F40/166

    Abstract: Provided are an electronic device for correcting a speech input, and an operating method thereof. The method may include receiving a first speech signal; obtaining first text; obtaining an intent of the first speech signal and a confidence score of the intent, by inputting the first text to a natural language understanding model; identifying a plurality of correction candidate semantic elements capable of being correction targets in the first text; receiving a second speech signal; obtaining second text; identifying whether the second speech signal is a speech signal for correcting the first text; comparing the plurality of correction candidate semantic elements in the first text with a semantic element in the second text, based on the confidence score; and correcting at least one of the plurality of correction candidate semantic elements in the first text.

    ELECTRONIC DEVICE AND NATURAL LANGUAGE GENERATION METHOD THEREOF
    12.
    发明申请
    ELECTRONIC DEVICE AND NATURAL LANGUAGE GENERATION METHOD THEREOF 有权

    公开(公告)号：US20210049328A1

    公开(公告)日：2021-02-18

    申请号：US16966249

    申请日：2019-01-28

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hyungtak CHOI ,  Heesik JEON ,  Jihie KIM ,  Haehun YANG ,  Inchul HWANG ,  Seungsoo KANG ,  Hyunwoo PARK ,  Daye LEE

    IPC: G06F40/30 ,  G06F40/56 ,  G06K9/62

    Abstract: Provided in the present disclosure are an electronic device and a natural language generation method thereof. The natural language generation method of the electronic device comprises: obtaining input data with information on a plurality of slots included for generating a response; obtaining a natural language corresponding to the input data by inputting the information on the plurality of slots to one of artificial intelligence models trained for obtaining a natural language generation template and a natural language; and outputting the obtained natural language. In particular, at least a part of a method for obtaining a natural language in order to provide a response can use an artificial intelligence model having learned according at least one of machine learning, a neural network, or a deep-learning algorithm

    SERVER AND CONTROL METHOD THEREOF
    14.
    发明申请
    SERVER AND CONTROL METHOD THEREOF 审中-公开

    公开(公告)号：US20200057758A1

    公开(公告)日：2020-02-20

    申请号：US16545388

    申请日：2019-08-20

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Hyungtak CHOI ,  Seungsoo KANG ,  Sunhwa KO ,  Jihie KIM ,  Hyunwoo PARK ,  Haehun YANG ,  Daye LEE ,  Siddarth K M ,  Inchul HWANG

    IPC: G06F16/23 ,  G06F16/22

    Abstract: A server and a control method thereof are disclosed. The control method of a server includes receiving knowledge information from a first electronic device, storing the received knowledge information in a personal knowledge database corresponding to a user using the first electronic device, transmitting a response to an inquiry to obtain the knowledge information to at least one second electronic device based on the knowledge information stored in the personal knowledge database, based on the inquiry being received from the at least one second electronic device, receiving feedback information to the response from the at least one second electronic device, and storing the knowledge information in a global knowledge database based on the feedback information. At least a part of a method of allowing a server to provide a response to a user inquiry may use an artificial intelligence model learned according to at least one of machine learning, neural networks, or deep learning algorithms.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF
    15.
    发明申请
    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF 有权

    公开(公告)号：US20240419399A1

    公开(公告)日：2024-12-19

    申请号：US18819178

    申请日：2024-08-29

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hyungtak CHOI ,  Hyeonmok KO ,  Jihie KIM ,  Hongchul KIM ,  Inchul HWANG

    IPC: G06F3/16 ,  G06F3/00 ,  G06F3/01 ,  G06F18/20 ,  G06V40/16 ,  G10L17/18 ,  G10L17/22

    Abstract: Disclosed is an electronic device. The electronic device comprises: a microphone comprising circuitry; a speaker comprising circuitry; and a processor electrically connected to the microphone and speaker, wherein the processor, when a first user's voice is input through the microphone, identifies a user who uttered the first user's voice and provides a first response sound, which is obtained by inputting the first user's voice to an artificial intelligence model learned through an artificial intelligence algorithm, through the speaker, and when a second user's voice is input through the microphone, identifies a user who uttered the second user's voice, and if the user who uttered the first user's voice is the same as the user who uttered the second user's voice, provides a second response sound, which is obtained by inputting the second user's voice and utterance history information to the artificial intelligence model, through the speaker. In particular, at least some of the methods of providing a response sound to a user's voice may use an artificial intelligence model learned in accordance with at least one of a machine learning, neural network, or deep learning algorithm.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF
    17.
    发明申请
    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF 有权

    公开(公告)号：US20220375478A1

    公开(公告)日：2022-11-24

    申请号：US17880169

    申请日：2022-08-03

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hyungtak CHOI ,  Hyeonmok KO ,  Jihie KIM ,  Hongchul KIM ,  Inchul HWANG

    IPC: G10L17/22 ,  G10L17/18 ,  G06F3/01 ,  G06F3/00 ,  G06F3/16 ,  G06K9/00 ,  G06V40/16

    Abstract: Disclosed is an electronic device. The electronic device comprises: a microphone comprising circuitry; a speaker comprising circuitry; and a processor electrically connected to the microphone and speaker, wherein the processor, when a first user's voice is input through the microphone, identifies a user who uttered the first user's voice and provides a first response sound, which is obtained by inputting the first user's voice to an artificial intelligence model learned through an artificial intelligence algorithm, through the speaker, and when a second user's voice is input through the microphone, identifies a user who uttered the second user's voice, and if the user who uttered the first user's voice is the same as the user who uttered the second user's voice, provides a second response sound, which is obtained by inputting the second user's voice and utterance history information to the artificial intelligence model, through the speaker. In particular, at least some of the methods of providing a response sound to a user's voice may use an artificial intelligence model learned in accordance with at least one of a machine learning, neural network, or deep learning algorithm.

    ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF
    18.
    发明申请
    ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF 有权

    公开(公告)号：US20220351151A1

    公开(公告)日：2022-11-03

    申请号：US17428211

    申请日：2021-07-09

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Hyungtak CHOI ,  Lohith RAVURU ,  Haehun YANG

    IPC: G06Q10/10 ,  G06F40/284 ,  G06V30/18

    Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a display, a memory storing at least one instruction, and a processor connected to the memory and the display and configured to control the electronic apparatus, the processor, by executing the at least one instruction, is configured to: based on receiving a command for adding a schedule being input while an image is displayed on the display, obtain a plurality of texts by performing text recognition of the image, obtain main datetime information corresponding to each of a plurality of pieces of schedule information and sub-datetime information corresponding to the main datetime information by causing the plurality of obtained texts to be provided to a first neural network model, and update schedule information of a user based on the obtained datetime information, and the first neural network model is configured to be trained to output main datetime information and sub-datetime information corresponding to the main datetime information based on receiving a plurality of pieces of datetime information.

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