Samsung Electronics Co., Ltd.

Jaesung Kwon

Chulhee Kim

Sung-Jun Cho

Changhak Lim

An electronic device is disclosed. The electronic device comprises: a voice input unit; a storage unit for storing a first text according to a first transcript format and at least one second text obtained by transcribing the first text in a second transcript format; and a processor for, when a voice text converted from a user voice input through the voice input unit corresponds to a preset instruction, executing a function according to the preset instruction. The processor executes a function according to a preset instruction when the preset instruction includes a first text and a voice text is a text in which the first text of the preset instruction has been transcribed into a second text of a second transcript format.

Electronic device and control method therefor

An electronic apparatus including a processor configured to receive a first audio signal, obtain a second audio signal by relating noise to the received first audio signal, identify whether the second audio signal matches a second command obtained by relating the noise to a first command of first reference data, based on second reference data, obtained by relating the noise to the first reference data, and perform an operation based on identification in response to the identifying that the second audio signal matches the second command.

Electronic apparatus and control method thereof

The present disclosure provides an electronic device and a control method thereof. The electronic device of the present disclosure includes: a memory in which a speaker model including acoustic characteristics and context information of a first user voice is stored; and a processor for comparing a degree of similarity between the acoustic characteristics of the first user included in the speaker model and the acoustic characteristics of a second user voice, with a threshold value changing according to a degree of similarity between the context information included in the speaker model and the context information of the second user voice, and then performing authentication on the second user voice.

Electronic device performing speaker recognition and control method thereof

A refrigerator having an improved structure that enhances the cooling efficiency. The refrigerator includes a main body, a storage compartment formed inside the main body, and a cold air supplier to supply cold air to the storage compartment, the cold air supplier including a compressor compressing a refrigerant, a condenser condensing the compressed refrigerant, a decompressor expanding the condensed refrigerant, an evaporator disposed at a rear of the storage compartment to evaporate the expanded refrigerant, and a refrigerant moving tube connecting the evaporator to the compressor through which the evaporated refrigerant is moved to the compressor so that the refrigerant is recirculated, wherein the evaporator includes a case, a refrigerant tube disposed inside the case such that the refrigerant introduced into the evaporator flows therethrough, and connected to the refrigerant moving tube at an inside of the case, and a heat insulating material filling the inside of the case to cover where the refrigerant tube and the refrigerant moving tube are connected to each other.

Refrigerator

An electronic device and a control method thereof are provided. The electronic device includes: a speech input interface comprising speech input circuitry; a communicator comprising communication circuitry; a storage configured to store at least one keyword for each of a plurality of domains; and a processor configured to control the electronic device to: obtain keywords from a user's speech input through the speech input interface, identify a domain related to the obtained keywords based on a comparison between the obtained keywords and the keywords stored in the storage, and control the electronic device to perform speech recognition for the user's speech through an engine based on the identified domain. At least portions of the storage and a learning method of an engine may include artificial intelligence algorithms, and may be performed according to at least one of machine learning, a neural network, and/or a deep learning algorithm.

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Suwon-si, South Korea

Jaesung Kwon