Samsung Electronics Co., Ltd.

Jiwon Hyung

Keunseok Cho

Jaeyoung Roh

Donghan Jang

Jaewon Lee

Yusun Son

Kyungmin Lee

Chanwoo Kim

Jongyoub Ryu

Dojun Yang

Hyungjun Choi

A method and apparatus for authenticating a user based on an utterance input includes obtaining an input audio signal based on the utterance input of the user; obtaining, from the input audio signal, at least one audio signal of an utterance section and at least one audio signal of a non-utterance section; generating environment information indicating an environment in which the utterance input is received, based on the at least one audio signal of the non-utterance section; obtaining a result of a comparison between the generated environment information and registration environment information indicating an environment in which a registration utterance input corresponding to a previously registered registration audio signal corresponding to the user is received; adjusting an authentication criterion for authenticating the user based on the result of the comparison; and authenticating the user based on the adjusted authentication criterion and the input audio signal.

User authentication method and apparatus

An electronic apparatus is disclosed. The electronic apparatus includes: a memory storing task information and keyword information regarding a voice recognition agent function related to execution of an application, and a processor connected with the memory and configured to control the electronic apparatus. The processor may be configured to: apply a first weight to first step information including the keyword information among a plurality of step information included in the task information, apply a second weight different from the first weight to second step information including a motion among the plurality of step information, update the task information based on the first step information to which the first weight was applied and the second step information to which the second weight was applied, and based on a voice command for the application being input, execute the voice recognition agent function based on the updated task information.

Electronic apparatus and controlling method thereof

Provided is a method and device for recognizing, by a wearable device, a gesture. The method of recognizing, by a wearable device, a user gesture includes identifying a trigger gesture of the wearable device, obtaining an electromyographic signal set from a plurality of electromyography sensors, based on a movement of a user's body for the identified trigger gesture, obtaining at least one output value by using one or more electromyographic signals from among the obtained electromyographic signal set, as an input to a gesture recognition model, selecting, based on the wearable device being in a standby mode, at least one active electromyography sensor to recognize the user gesture, based on the obtained output value, activating the selected active electromyography sensor and recognizing the user gesture by using the activated at least one active electromyography sensor based on the wearable device being in standby mode.

Method of recognizing gesture by using wearable device and the wearable device

A method and apparatus for processing voice data of a speech received from a speaker are provided. The method includes extracting a speaker feature vector from the voice data of the speech received from a speaker, generating a speaker feature map by positioning the extracted speaker feature vector at a specific position on a multi-dimensional vector space, forming a plurality of clusters indicating features of voices of a plurality of speakers by grouping at least one speaker feature vector positioned on the speaker feature map, and classifying the plurality of speakers according to the plurality of clusters.

Apparatus for classifying speakers using a feature map and method for operating the same

An electronic apparatus and a control method are provided, including an input interface, a communication interface, a memory including at least one command, and at least one processor configured to control the electronic device and execute the at least one command to receive a user speech through the input interface, determine whether or not the user speech is a speech related to a task requiring user confirmation by analyzing the user speech, generate a question for the user confirmation when it is determined that the user speech is the speech related to the task requiring the user confirmation, and perform a task corresponding to the user speech when a user response corresponding to the question is input through the input interface. Embodiments may use an artificial intelligence model learned according to at least one of machine learning, a neural network, and a deep learning algorithm.

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Suwon-si, South Korea

Jiwon Hyung