ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20210027790A1

    公开(公告)日:2021-01-28

    申请号:US16967910

    申请日:2019-01-02

    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.

    METHOD AND APPARATUS FOR GENERATING PACKET DATA NETWORK CONNECTION OF USER EQUIPMENT
    13.
    发明申请
    METHOD AND APPARATUS FOR GENERATING PACKET DATA NETWORK CONNECTION OF USER EQUIPMENT 审中-公开
    用于生成用户设备的分组数据网络连接的方法和装置

    公开(公告)号:US20160381720A1

    公开(公告)日:2016-12-29

    申请号:US15196509

    申请日:2016-06-29

    Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The method includes transmitting a service authorization request message to a first network device, the first network drive including a proximity-based service (ProSe) function, and receiving a service authorization response message from the first network device. The first terminal is a relay terminal capable of performing a UE-to-network relay function.

    Abstract translation: 本公开涉及用于利用物联网(IoT)技术来融合第五代(5G)通信系统以用于支持超过第四代(4G)系统的较高数据速率的通信方法和系统。 本发明可以应用于基于5G通信技术和智能家居,智能建筑,智能城市,智能汽车,连接汽车,医疗保健,数字教育,智能零售,安全和智能汽车的IoT相关技术的智能服务, 安全服务。 该方法包括向第一网络设备发送服务授权请求消息,所述第一网络驱动器包括基于邻近的服务(ProSe)功能,以及从所述第一网络设备接收服务授权响应消息。 第一终端是能够执行UE到网络中继功能的中继终端。

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20240419399A1

    公开(公告)日:2024-12-19

    申请号:US18819178

    申请日:2024-08-29

    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 METHOD FOR CONTROLLING THE ELECTRONIC DEVICE

    公开(公告)号:US20230136901A1

    公开(公告)日:2023-05-04

    申请号:US18148693

    申请日:2022-12-30

    Abstract: 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.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20220375478A1

    公开(公告)日:2022-11-24

    申请号:US17880169

    申请日:2022-08-03

    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

    公开(公告)号:US20220328044A1

    公开(公告)日:2022-10-13

    申请号:US17852495

    申请日:2022-06-29

    Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory and a processor configured to control the electronic apparatus to: classify a plurality of input data into a plurality of types to store in the memory, determine at least one among the input data of the classified plurality of types based on a voice command being recognized among the input data, and provide response information corresponding to the voice command based on the input data of the determined type.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20220262364A1

    公开(公告)日:2022-08-18

    申请号:US17523367

    申请日:2021-11-10

    Abstract: 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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