Samsung Electronics Co., Ltd.

Samsung Sdi Co., Inc.

Chanwoo Kim

Bumjin Lee

Jinhee Kang

Sang Soo Kim

Chungbeum Hong

Heekyoung Kang

Junho Lee

Kyungmin Lee

Jiyun Kwon

Chang-Hyun Kwon

Dhananjaya N Gowda

Kwangyoun Kim

Abhinav Garg

Changwoo Han

Sungsoo Kim

Jiyeon Kim

Larry Paul Heck

Jaeyoung Roh

Youngho Han

Keunseok Cho

Jiwon Hyung

Sichen Jin

Donghan Jang

Minkyu Shin

Sungseo Cho

Mehul Kumar

The disclosure relates to an electronic apparatus for recognizing user voice and a method of recognizing, by the electronic apparatus, the user voice. According to an embodiment, the method of recognizing the user voice includes obtaining an audio signal segmented into a plurality of frame units, determining an energy component for each filter bank by applying a filter bank distributed according to a preset scale to a frequency spectrum of the audio signal segmented into the frame units, smoothing the determined energy component for each filter bank, extracting a feature vector of the audio signal based on the smoothed energy component for each filter bank, and recognizing the user voice in the audio signal by inputting the extracted feature vector to a voice recognition model.

Voice recognition device and method

Disclosed are an electronic device and a method of controlling the electronic device. An electronic device according to an embodiment may perform a method comprising: performing natural language understanding for a first text included in learning data, obtaining first information associated with a speech corresponding to the first text being uttered based on a result of the natural language understanding, obtain second information associated with an acoustic feature corresponding to the speech corresponding to the first text being uttered based on the first information, obtaining a plurality of speech signals corresponding to the first text by converting a first speech signal corresponding to the first text based on the first information and the second information, and training a speech recognition model based on the plurality of obtained speech signals and the first text.

Electronic device and controlling method of electronic device for augmenting learning data for a recognition model

An electronic device and a method for controlling the electronic device are disclosed. The electronic device of the disclosure includes a microphone, a memory storing at least one instruction, and a processor configured to execute the at least one instruction. The processor, by executing the at least one instruction, is configured to: obtain second voice data by inputting first voice data input via the microphone to a first model trained to enhance sound quality, obtain a weight by inputting the first voice data and the second voice data to a second model, and identify input data to be input to a third model using the weight.

Electronic device and method of controlling thereof

Provided is a system and method for recognizing a user's speech. A method, performed by a server, of providing a text string for a speech signal input to a device includes: receiving, from the device, an encoder output value derived from an encoder of an end-to-end automatic speech recognition (ASR) model included in the device; identifying a domain corresponding to the received encoder output value; selecting a decoder corresponding to the identified domain from among a plurality of decoders of an end-to-end ASR model included in the server; obtaining a text string from the received encoder output value using the selected decoder; and providing the obtained text string to the device.

System and method for recognizing user's speech

Provided are a system and method for modifying a speech recognition result. The method includes: receiving, from a device, text output from an automatic speech recognition (ASR) model of the device; identifying at least one domain related to the received text; selecting, from among a plurality of text modification models included in the server, at least one text modification model corresponding to the identified at least one domain; and modifying the received text by using the selected at least one text modification model.

System and method for modifying speech recognition result

A server for supporting speech recognition of a device and an operation method of the server. The server and method identify a plurality of estimated character strings from the first character string and obtain a second character string, based on the plurality of estimated character strings, and transmit the second character string to the device. The first character string is output from a speech signal input to the device, via speech recognition.

Server that supports speech recognition of device, and operation method of the server

Provided are an electronic device for recognizing speech of a user, and a method, performed by the electronic device, of recognizing speech. The method includes obtaining an audio signal based on a speech input based on the audio signal being input, obtaining an output value of a first automatic speech recognition (ASR) model that outputs a character string at a first level; obtaining an output value of a second ASR model that outputs a character string at a second level corresponding to the audio signal based on the output value of the first ASR model based on the audio signal being input; and recognizing the speech from the output value of the second ASR model.

Method and device for speech recognition

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 photosensitive resin composition, a black pixel defining layer, and a display device, the composition including a binder polymer including a structural unit represented by Chemical Formula 1; a black colorant; a photopolymerizable monomer; a photopolymerization initiator; and a solvent, 

Photosensitive resin composition, black pixel defining layer using the same and display device

Provided are a photosensitive resin composition including (A) a binder resin, the binder resin including a polymer that includes a structural unit represented by Chemical Formula 1; (B) a black colorant; (C) a photopolymerizable monomer; and (D) a photopolymerization initiator a black pixel defining layer manufactured using the same, and a display device including the black pixel defining layer, wherein, in Chemical Formula 1, each substituent is the same as defined in the detailed description.

A photosensitive resin composition, a pixel defining layer, and a display device, the composition including a binder resin; a photopolymerizable monomer; a photopolymerization initiator including a first photopolymerization initiator and a second photopolymerization initiator; a black colorant; and a solvent, wherein the first photopolymerization initiator is represented by Chemical Formula 1, the second photopolymerization initiator has a different maximum absorption wavelength from the first photopolymerization initiator, and the first photopolymerization initiator and the second photopolymerization initiator are included in a weight ratio of about 3:7 to about 7:3, 

A photosensitive resin composition, a black pixel defining layer, and a display device, the composition including a binder resin including a repeating unit represented by Chemical Formula 1; a black colorant; a photopolymerizable monomer; a photopolymerization initiator; and a solvent, 

A photosensitive resin composition includes a binder resin, a black colorant, a photopolymerizable monomer, a photopolymerization initiator, and a solvent. The binder resin includes a first binder resin having a glass transition temperature of about &#x2212;50&#xb0; C. to about 150&#xb0; C. and a second binder resin having a glass transition temperature of greater than about 150&#xb0; C.

Photosensitive resin composition, photosensitive resin layer using the same and display device

Provided are a photosensitive resin composition including (A) a binder resin; (B) a photopolymerizable monomer; (C) a photopolymerization initiator including a compound represented by Chemical Formula 1; (D) a black colorant; and (E) a solvent, a black pixel defining layer manufactured using the photosensitive resin composition, and a display device including the black pixel defining layer.  In Chemical Formula 1, each substituent is the same as defined in the detailed description.

A black photosensitive resin composition includes (A) an alkali soluble polyimide-polyamic acid copolymerization resin; (B) a multi-functional monomer; (C) a photopolymerization initiator; (D) a black colorant; and (E) a solvent, a photosensitive resin layer manufactured using the same, and a display device including the photosensitive resin layer.

Growing community of inventors

Suwon-si, South Korea

Chanwoo Kim