Samsung Electronics Co., Ltd.

Jaeyoung Roh

Keunseok Cho

Donghan Jang

Jiwon Hyung

Jaewon Lee

Jiwoo Lee

Intae Jun

Hejung Yang

Hojun Jin

Kyungmin Lee

Namhoon Kim

Chanwoo Kim

Jongyoub Ryu

Chiyoun Park

Hyungjun Lim

Youngho Han

Seokgyu Ban

Yeaseul Song

Cheoleun Heo

Jubum Han

Eunki Na

Kyungwan Han

Jeongrae Noh

Dongjo Woo

An electronic device includes a processor; a first camera module comprising a camera including a first lens assembly having a first field of view (FOV) and a second camera module comprising a camera spaced apart a first camera module and including a second lens assembly having a second FOV narrower than the first FOV; wherein the first camera module includes an image sensor and a filter including a glass plate spaced apart the image sensor and disposed on the image sensor, and a layer disposed on the glass plate and configured to absorb a portion of infrared light among the light transmitted through the first lens assembly, wherein the processor is configured to obtain depth information about on the subject located within the second FOV based on data about the light passing through the filter, which is obtained through the image sensor.

Electronic device comprising camera module for obtaining depth information

An electronic apparatus is disclosed. The electronic apparatus may include a microphone; a communication interface; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: obtain a user voice input for registering a wake-up voice input via the microphone; input the user voice input into a trained neural network model to obtain a first feature vector corresponding to text included in the user voice input; receive a verification data set determined based on information related to the text included in the user voice input from an external server via the communication interface; input a verification voice input included in the verification data set into the trained neural network model to obtain a second feature vector corresponding to the verification voice input; and identify whether to register the user voice input as the wake-up voice input based on a similarity between the first feature vector and the second feature vector.

Electronic apparatus and method for controlling thereof

An electronic device is provided. The electronic device includes a housing; a first antenna for transmitting and receiving at least one of a first wireless transmission signal and a first wireless reception signal using the first portion of the housing; a first PCB electrically connected to the first antenna and including a first connector; a second PCB electrically connected to the first PCB and including a second connector; a signal connection member having a first end connected to the first connector and a second end connected to the second connector; a communication module electrically connected to the second connector and controlling the at least one of the first wireless transmission signal and the first wireless reception signal; a sensor module which is electrically connected to the second connector, and adjusts at least one sensing parameter based on frequency information of the at least one of the first wireless transmission signal and the first wireless reception signal, and measures capacitance for a path of the at least one of the first wireless transmission signal and the first wireless reception signal between the first antenna and the second connector; and a processor configured to control the transmission power of the communication module according to the capacitance measured by using the sensor module.

Electronic device and method for controlling a transmission power of a communication module

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 provided. The electronic apparatus may include a microphone; a memory configured to store a wakeup word; and a processor configured to: identify, based on context information of the electronic apparatus, an occurrence of a pre-determined event; change, based on the occurrence of the pre-determined event, a first threshold value for recognizing the wakeup word; obtain, based on a first user voice input received via the microphone, a similarity value between first text information corresponding to the first user voice input and the wakeup word; and perform, based on the similarity value being greater than or equal to the first threshold value, a voice recognition function on second text information corresponding to a second user voice input received via the microphone after the first user voice input.

Electronic apparatus and controlling method thereof

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.

Electronic device and control method thereof

A method of processing a speech signal for speaker recognition in an electronic apparatus includes: obtaining a speech signal of a first user; extracting a speech feature comprising a feature value from the speech signal; comparing the speech feature extracted from the speech signal of the first user with a predetermined reference value; selecting a first user feature that corresponds to the speech feature of the first user compared with the reference value; generating a recommended phrase used for speaker recognition based on the first user feature; and outputting the recommended phrase.

Method of processing a speech signal for speaker recognition and electronic apparatus implementing same

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Suwon-si, South Korea

Jaeyoung Roh