Samsung Electronics Co., Ltd.

Inchul Hwang

Hyeonmok Ko

Hyungtak Choi

Hojung Lee

Jihie Kim

Munjo Kim

Haehun Yang

Hongchul Kim

Daye Lee

Seungsoo Kang

Hyungrai Oh

Changho Paeon

Hyunwoo Park

Eunji Lee

Minkyu Park

Dohun Cha

Sungja Choi

Jiyeon Hong

Kyenghun Lee

Saebom Jang

Jinhe Jung

Kwanho Lee

Pureum Jung

Jisun Choi

Yeseul Lee

Dongchul Ma

Namkoo Lee

Sunghwan Baek

Jaechul Yang

Youngbin Shin

Dohee Kang

Heesik Jeon

Hannam Kim

Siddarth K M

Sunhwa Ko

Younghwa Lee

Meejeong Park

Daegeun Yi

Seungyoun Kim

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

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

Provided are an artificial intelligence (AI) system that utilizes a machine learning algorithm such as deep learning, etc., and an application of the AI system. A method performed by a device for providing a voice assistant service through a voice assistant program includes: receiving, from an external device, a character specialized model for the voice assistant program; receiving a user voice input including a request for a response of the voice assistant program and a word indicating a character; determining the character specialized model according to the word indicating the character; generating a response message to the request for the response of the voice assistant program, using the character specialized model; and outputting the generated response message.

System and method for providing voice assistant service

The disclosure relates to an artificial intelligence (AI) system using a learned AI model according to at least one of machine learning, neural network, or a deep learning algorithm and applications thereof. In the disclosure, a control method of an electronic apparatus is provided. The control method comprises the steps of: displaying an image including at least one object receiving a voice; inputting the voice to an AI model learned by an AI algorithm to identify an object related to the voice among the at least one object included in the image and acquire tag information about the identified object; and providing the obtained tag information.

Electronic apparatus and control method thereof

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

Electronic device and natural language generation method thereof

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 controlling method thereof

An electronic apparatus and a controlling method thereof are 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 control the electronic apparatus to: determine a keyword from a query based on the query being input, obtain a word related to the keyword based on information on a user preference, and provide a response to the user query based on the keyword and the word. The processor may be configured to control the electronic apparatus to obtain at least one word from among a plurality of candidate words corresponding to the keyword as a word related to the keyword based on the user preference information. For example, at least part of a method of providing a response to a query by the electronic apparatus may use an AI model that is trained using at least one of machine learning, neural network or deep learning algorithm.

An electronic device and a method for controlling the same are provided. The electronic device includes a microphone, a memory storing at least one instruction and dialogue history information, and a processor configured to be connected to the microphone and the memory and control the electronic device, in which the processor, by executing the at least one instruction, is configured to, based on a user's voice being input via the microphone, obtain response information for generating a response sentence to the user's voice, select at least one template phrase for generating the response sentence to the user's voice based on the stored dialogue history information, generate the response sentence using the response information and the at least one template phrase, and output the generated response sentence.

Electronic device and method for controlling the electronic device thereof

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.

Provided are an electronic device and method for providing a voice assistant service. The method, performed by the electronic device, of providing the voice assistant service includes: obtaining a voice of a user; obtaining voice analysis information of the voice of the user by inputting the voice of the user to a natural language understanding model; determining whether a response operation with respect to the voice of the user is performable, according to a preset criterion, based on the obtained voice analysis information; and based on the determining that the response operation is not performable, outputting a series of guide messages for learning the response operation related to the voice of the user.

Apparatus and method for providing voice assistant service

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.

Server and control method thereof

Provided are a method and device for providing an event-emotion-based interactive interface by using an artificial intelligence (AI) system. The method includes identifying an emotional state of a user for at least one event by analyzing a response to a query, learning emotion information of the user for the at least one event, based on the emotional state of the user, determining an interaction type for the at least one event, based on the emotion information of the user, and providing notification information for the at least one event, based on the interaction type.

Method and system for providing an interactive interface

Growing community of inventors

Suwon-si, South Korea

Inchul Hwang