Samsung Electronics Co., Ltd.

Hyundai Kefico Corporation

Idiap Research Institute

Nam-Hoon Kim

Jae-Won Lee

Sung-soo Kim

Yong-gook Park

Won-chul Bang

Jong-hyun Ryu

Jeong-Mi Cho

Chi-youn Park

Jeong-su Kim

Hyun-Su Hong

Jong-youb Ryu

Won-young Choi

Han-joo Chae

Kyung-min Lee

Ick-Sang Han

Sang-Yoon Kim

Je-Hyok Ryu

Hee-Jun Song

Jae-Myeon Lee

Jin La

Jae-Seok Park

Il-Hwan Kim

Il-hwan Kim

Won-Chul Bang

Jin-Guk Jeong

Sung-Hyun Park

Ji-yeun Kim

Byung-kwan Kwak

Philip Neil Garner

Kyung-Min Lee

Chang-woo Han

Jeong-Gwan Kang

Eun-Young Song

Jeong-Soo Lee

Ji-Heon Oh

John-Ha Lee

Se-Hoon Son

Young-ho Han

Cheong-jae Lee

Jung-Hyun Oh

Mu-Hong Byun

Yoon-kyung Song

Hyeon-Taek Lim

Young-Min Won

Byung-hwan Kwak

Yiogchun Huang

Joong-mi Cho

Petr Motlicek

David Imseng

Chi-Youn Park

Jeong-Su Kim

A method of controlling engine torque according to transmission hydraulic pressure is performed by an engine torque control system of a vehicle. The method includes connecting an engine torque converter to an engine and an automatic transmission of the vehicle, calculating a required turbine torque after confirming an engine torque control condition, deriving and storing a value of turbine torque factor learning through turbine torque factor learning according to shift type and shift time, converting the stored value of turbine torque factor learning into an engine torque control value, and requesting the engine torque control value to be applied to engine output, by an engine torque controller during shifting of the automatic transmission, so that a new turbine torque calculation is performed through a hydraulic pressure reference at the beginning of physical shifting, thereby preventing a shift shock and transmission damage caused by unreasonably excessive or insufficient engine torque.

System and method for controlling engine torque according to transmission hydraulic pressure

A method and system for controlling clutch friction elements of an automatic transmission is provided. The method includes retrieving information about shift clutches from a data storage unit and acquiring information required to predict a temperature of a friction element for each shift clutch, deriving a predicted temperature value of a friction element for each shift clutch by using the information about the shift clutches and the information required to predict the temperature of the friction element, predicting whether or not overheating occurs for each shift clutch by comparing the derived predicted temperature value of the friction element for each shift clutch with an allowable temperature set for each shift clutch, and determining a target shift stage while avoiding the overheating clutch with a predicted temperature value exceeding the allowable temperature, through switching to an avoidance shift mode.

Control method and system for protecting clutch friction elements of automatic transmission and automatic transmission vehicle including same system

In one aspect, a control method and a control apparatus are provided for protecting a damper clutch of a vehicle. In one aspect, the control method of protecting the damper clutch of the vehicle includes determining whether a vehicle state satisfies a condition for operating a damper clutch protection logic, calculating a slip power in real time on the basis of a turbine speed of a torque converter, an engine speed, a capacity coefficient of the torque converter, a clutch torque, and a hydraulic torque when the condition for operating the damper clutch protection logic is satisfied, determining whether a repetitive tip-in/tip-out that is intentionally performed occurs or not on the basis of a change in the slip power that is calculated in real time for a set time, and operating the damper clutch protection logic for restraining a slip of the damper clutch when there is the repetitive tip-in/tip-out that is intentionally performed.

Control method and apparatus for protecting damper clutch of vehicle

A speech recognition device is provided. The speech recognition device includes at least one microphone configured to receive a sound signal from a first sound source, and at least one processor configured to determine a direction of the first sound source based on the sound signal, determine whether the direction of the first sound source is in a registered direction, and based on whether the direction of the first sound source is in the registered direction, recognize a speech from the sound signal regardless of whether the sound signal comprises a wake-up keyword.

Method of providing service based on location of sound source and speech recognition device therefor

A method of updating speech recognition data including a language model used for speech recognition, the method including obtaining language data including at least one word; detecting a word that does not exist in the language model from among the at least one word; obtaining at least one phoneme sequence regarding the detected word; obtaining components constituting the at least one phoneme sequence by dividing the at least one phoneme sequence into predetermined unit components; determining information regarding probabilities that the respective components constituting each of the at least one phoneme sequence appear during speech recognition; and updating the language model based on the determined probability information.

Method and device for performing voice recognition using grammar model

A speech recognition method and a speech recognition apparatus which pre-download a speech recognition model predicted to be used and use the speech recognition model in speech recognition is provided. The speech recognition method, performed by the speech recognition apparatus, includes determining a speech recognition model, based on user information downloading the speech recognition model, performing speech recognition, based on the speech recognition model, and outputting a result of performing the speech recognition.

Speech recognition method and apparatus

A method of obtaining a grammar model to perform speech recognition includes obtaining information about a state of at least one device, obtaining grammar model information about the at least one device based on the obtained information, and generating a grammar model to perform the speech recognition based on the obtained grammar model information.

Method and apparatus for performing voice recognition on basis of device information

An electronic device and method for providing a translations service are disclosed. The electronic device for providing a translation service includes an input unit comprising input circuitry configured to receive input text of a first language, a processor configured to divide the input text into a main segment and a sub-segment and to generate output text of a second language by selecting translation candidate text corresponding to the input text from translation candidate text of the second language, based on a meaning of text included in the sub-segment, and an output unit comprising output circuitry configured to output the output text.

Electronic device for providing translation service and method thereof for determining translation candidate text from a plurality of candidate texts

Provided herein is a voice recognition server and a control method thereof, the method including determining an index value for each of a plurality of training texts; setting a group for each of the plurality of training texts based on the index values of the plurality of training texts, and matching a function corresponding to each group and storing the matched results; in response to receiving a user's uttered voice from a user terminal apparatus, determining an index value from the received uttered voice; and searching a group corresponding to the index value determined from the received uttered voice, and performing the function corresponding to the uttered voice, thereby providing a voice recognition result of a variety of user's uttered voices suitable to the user's intentions.

Voice recognition server and control method thereof

An apparatus and a method for constructing a multilingual acoustic model, and a computer readable recording medium are provided. The method for constructing a multilingual acoustic model includes dividing an input feature into a common language portion and a distinctive language portion, acquiring a tandem feature by training the divided common language portion and distinctive language portion using a neural network to estimate and remove correlation between phonemes, dividing parameters of an initial acoustic model constructed using the tandem feature into common language parameters and distinctive language parameters, adapting the common language parameters using data of a training language, adapting the distinctive language parameters using data of a target language, and constructing an acoustic model for the target language using the adapted common language parameters and the adapted distinctive language parameters.

Apparatus and method for constructing multilingual acoustic model and computer readable recording medium for storing program for performing the method

A communication interface apparatus for a system and a plurality of users is provided. The communication interface apparatus for the system and the plurality of users includes a first process unit configured to receive voice information and face information from at least one user, and determine whether the received voice information is voice information of at least one registered user based on user models corresponding to the respective received voice information and face information; a second process unit configured to receive the face information, and determine whether the at least one user's attention is on the system based on the received face information; and a third process unit configured to receive the voice information, analyze the received voice information, and determine whether the received voice information is substantially meaningful to the system based on a dialog model that represents conversation flow on a situation basis.

Apparatus and method for providing a reliable voice interface between a system and multiple users

Disclosed are an apparatus and method of deducing a user's intention using motion information. The user's intention deduction apparatus includes a speech intention determining unit configured to predict a speech intention regarding a user's speech using motion information sensed by at least one motion capture sensor, and a controller configured to control operation of detecting a voice section from a received sound signal based on the predicted speech intention.

Apparatus and method for detecting voice based on motion information

Provided are a method and apparatus for providing a mobile voice web service in a mobile terminal. The method includes analyzing a web history of a user from web search logs of the user and generating a voice access list based on the analysis results, and performing voice recognition by dynamically generating a voice recognition syntax according to the generated voice access list. Accordingly, by limiting syntax required for voice recognition by generating a syntax suitable for a web context of the user, efficient voice recognition, which can be performed in a terminal not a server, can be implemented.

Method, medium and apparatus for providing mobile voice web service

An acoustic processing apparatus is provided. The acoustic processing apparatus including a first extracting unit configured to extract a first acoustic model that corresponds with a first position among positions set in a speech recognition target area, a second extracting unit configured to extract at least one second acoustic model that corresponds with, respectively, at least one second position in proximity to the first position, and an acoustic model generating unit configured to generate a third acoustic model based on the first acoustic model, the second acoustic model, or a combination thereof.

Acoustic processing apparatus and method

A speech detection apparatus and method are provided. The speech detection apparatus and method determine whether a frame is speech or not using feature information extracted from an input signal. The speech detection apparatus may estimate a situation related to an input frame and determine which feature information is required for speech detection for the input frame in the estimated situation. The speech detection apparatus may detect a speech signal using dynamic feature information that may be more suitable to the situation of a particular frame, instead of using the same feature information for each and every frame.

Apparatus and method for detecting speech

Growing community of inventors

Yongin-si, South Korea

Nam-Hoon Kim