Samsung Electronics Co., Ltd.

Sangha Kim

Sungchan Kim

Yoonjin Yoon

Hakjung Kim

Yongchan Lee

Sungsoo Kim

Jaewon Lee

Kyungmin Lee

Kwangyoun Kim

Yoonjung Choi

Youngho Han

Seokchan Ahn

Myungjin Eom

Jongyoub Ryu

Seungsoo Kang

Beomseok Lee

Jiwan Kim

Soyoon Park

A method performed by a server is provided. The method includes, in response to input information being processed by the first model in the terminal, receiving, from the terminal, intermediate data output from a first layer included in a shared portion of the first model, obtaining the first model and a second model, which are pretrained by including the shared portion, obtaining correct answer data for the input information by inputting the intermediate data as an output of the first layer to the first layer included in the shared portion of the second model, in response to the intermediate data being input as the output of the first layer to the first layer included in the shared portion of the first model, refining the first model so that the correct answer data may be output from the first model, and transmitting information about the refined first model to the terminal.

Server for refining model in terminal and operation method thereof

A method is provided. The method includes receiving a speech input in a first language from a first device; obtaining, by using an artificial intelligence (AI) model, an estimated interpretation time that indicates a time expected to be required to interpret the speech input in the first language into a second language; transmitting, based on the estimated interpretation time, interpretation situation information to at least one of the first device or a second device; interpreting the speech input in the first language into the second language; and transmitting, to the second device a result of the interpreting of the speech input into the second language.

Method and apparatus for providing interpretation situation information to one or more devices based on an accumulated delay among three devices in three different languages

An electronic apparatus and a control method thereof are provided. The control method of the electronic apparatus includes receiving, from a first external electronic apparatus and a second external electronic apparatus, a first artificial intelligence model and a second artificial intelligence model used by the first and second external electronic apparatuses, respectively, and a plurality of learning data stored in the first and second external electronic apparatuses, identifying first learning data, which corresponds to second learning data received from the second external electronic apparatus, among learning data received from the first external electronic apparatus, training the second artificial intelligence model used by the second external electronic apparatus based on the first learning data, and transmitting the trained second artificial intelligence model to the second external electronic apparatus.

Electronic apparatus and control method thereof

An electronic apparatus configured to acquire information on a plurality of candidate texts corresponding to input speech of a user through a general speech recognition module, determine text corresponding to the input speech from among the plurality of candidate texts using a trained personal language model, and output the text as a result of speech recognition of the input speech.

Electronic apparatus and controlling method thereof

An electronic device and a method for controlling the electronic device thereof are provided. The electronic device includes a memory storing instructions, and a processor configured to control the electronic device by executing the instructions stored in the memory, and the processor is configured to, based on a user's speech being input, acquire a first sentence in a first language corresponding to the user's speech through a speech recognition model corresponding to a language of the user's speech, acquire a second sentence in a second language corresponding to the first sentence in the first language through a machine translation model trained to translate a plurality of languages into the predefined second language, and acquire a control instruction of the electronic device corresponding to the acquired second sentence or acquire a response to the second sentence through a natural language understanding model trained based on the second language.

Electronic device and method for controlling the electronic device thereof based on determining intent of a user speech in a first language machine translated into a predefined second language

Methods for providing and obtaining data for training and electronic devices thereof are provided. The method for providing data for training includes obtaining first voice data for a voice uttered by a user at a specific time through a microphone of the electronic device and transmitting the voice recognition result to a second electronic device which obtained second voice data for the voice uttered by the user at the specific time, for use as data for training a voice recognition model. In this case, the voice recognition model may be trained using the data for training and an artificial intelligence algorithm such as deep learning.

Electronic device and method for providing or obtaining data for training thereof

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Suwon-si, South Korea

Sangha Kim