Samsung Electronics Co., Ltd.

Hyeonmok Ko

Inchul Hwang

Hojung Lee

Kyenghun Lee

Saebom Jang

Changho Paeon

Hyungtak Choi

Jiyeon Hong

Pureum Jung

Munjo Kim

Sungja Choi

Hyungrai Oh

Jihie Kim

Hongchul Kim

Kunal Sharma

Raghavendra Hanumantasetty Ramasetty

Jonggu Kim

Dayoung Kwon

Seoha Song

Sungjin Park

Sangsoo Jeong

Hoyeon Lee

Sunghoon Kim

Songyean Cho

Youngkyo Baek

Erik Guttman

Eunji Lee

Sejin Kwak

Sungchan Kim

Seonghan Ryu

Silas Jeon

Guttman Erik

Haehun Yang

Yunsun Baek

Ikhee Shin

Jinyeol Kim

Kooktae Choi

Lohith Ravuru

Jiyoun Hong

A method, performed by a hub device, of storing a voice assistant model for controlling a device includes receiving information about a first device connected to the hub device, requesting a voice assistant server to update a device determination model stored in the hub device; receiving the updated device determination model from the voice assistant server and storing the received updated device determination model; requesting, from the voice assistant server, information about a function determination model corresponding to the first device; receiving the information about the function determination model corresponding to the first device from the voice assistant server, and determining whether to store the function determination model in the hub device based on the received information; and based on the function determination model being determined to be stored in the hub device, storing, in the hub device, the function determination model corresponding to the first device.

Hub device, multi-device system including the hub device and plurality of devices, and operating method of the hub device and multi-device system

An electronic device is disclosed. An electronic device comprises: a communication interface including circuitry; and a processor for, when a user voice is received, providing a virtual secretary function of providing, by voice, response information corresponding to the received user voice, wherein the processor: identifies whether the response information corresponding to the user voice is privacy information; if the response information is identified to be privacy information, identifies whether a surrounding environment of the electronic device is a public environment; and if the surrounding environment is identified to be a public environment, controls the communication interface to transmit the response information to an external device.

Electronic device and control method thereof

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.

Electronic apparatus and control method thereof

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.

Providing a response to a user's speech or utterance by obtaining context information of the electronic device or a user of the electronic device, determine whether the electronic device or an external device is to perform automated speech recognition (ASR) of the user's speech or utterance, based on the context information, and provide a response to the user's speech or utterance based on a result of the electronic device or the external device performing the ASR.

Systems and operation methods for device selection using ambient noise

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.

Electronic apparatus, system comprising electronic apparatus and server and controlling method thereof

A system and method for registering a new device for a voice assistant service. The method, performed by a server, of registering a new device for a voice assistant service includes: comparing functions of a pre-registered device with functions of the new device; identifying functions corresponding to the functions of the pre-registered device among the functions of the new device, based on the comparison; obtaining pre-registered utterance data related to at least some of the identified functions; generating action data for the new device based on the identified functions and the pre-registered utterance data.

System and method for registering device for voice assistant service

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 method for controlling the electronic device

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.

Electronic apparatus and controlling method thereof

An electronic device and a method for controlling thereof are provided. The electronic device includes a display, a memory storing at least one instruction, and a processor, wherein the processor is configured to, by executing the at least one instruction, extract a plurality of texts displayed on a chat window of a message application and collect the texts, input the plurality of collected texts into a trained first neural network model and align the plurality of texts in order, input the plurality of texts aligned in order into a trained second neural network model and identify whether additional information for acquiring event information from the plurality of texts is necessary, and acquire event information from the plurality of texts based on the identification result.

Acquiring event information from a plurality of texts

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.

Electronic device and controlling the electronic device

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.

Growing community of inventors

Suwon-si, South Korea

Hyeonmok Ko