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71.发明公开음성 인식 단문 메시지 서비스 기반의 사용자 맞춤 광고 장치, 및 음성 인식 단문 메시지 서비스 기반의 사용자 맞춤 광고 노출 방법 审中-实审基于语音识别短信服务的个性化广告设备和基于语音识别的个性化广告接收方法短信服务
公开(公告)号：KR1020130050197A
公开(公告)日：2013-05-15
申请号：KR1020110115412
申请日：2011-11-07
Applicant: 한국전자통신연구원
CPC classification number: G06Q30/02 , G10L15/26 , G10L15/265 , G10L25/63
Abstract: PURPOSE: A customized advertisement device based on a voice recognition short message service and a customized advertisement exposure method thereof are provided to grasp intention of a user from position information and a voice text message of the user and to supply an advertisement suitable for the intention to the user. CONSTITUTION: A voice recognition unit(201) converts the inputted voice data into a character string. An intension grasping unit(205) grasps intension of a user by using an emotion state of the user which is recognized in an emotion recognition unit(202); position information of the user inputted in a position recognition unit(203); and context intention which is grasped in a context analysis unit(204). An advertisement selection unit(206) extracts an optimized advertisement based on the intension of the user from an advertisement database(207) and transmits the optimized advertisement to a user terminal(100) with the character string. [Reference numerals] (100) Smart terminal; (101) Voice input unit; (102) Position measurement unit; (103) Voice output unit; (104) Screen output unit; (201) Voice recognition unit; (202) Emotion recognition unit; (203) Position recognition unit; (204) Context analysis unit; (205) Intension grasping unit; (206) Advertisement selection unit; (207) Advertisement database; (AA) Voice data; (BB) Position data
Abstract translation: 目的：提供基于语音识别短消息服务和定制的广告曝光方法的定制广告设备，以从用户的位置信息和语音短信中吸取用户的意图，并提供适合于该意图的广告 用户。 构成：语音识别单元（201）将输入的语音数据转换为字符串。 通过使用在情绪识别单元（202）中识别的用户的情感状态，指引握持单元（205）掌握用户的意图; 输入到位置识别单元（203）中的用户的位置信息; 以及在上下文分析单元（204）中掌握的上下文意图。 广告选择单元（206）根据用户从广告数据库（207）的意图提取优化的广告，并将优化的广告发送到具有字符串的用户终端（100）。 （附图标记）（100）智能终端; （101）语音输入单元; （102）位置测量单元; （103）语音输出单元; （104）屏幕输出单元; （201）语音识别单元; （202）情感识别单元; （203）位置识别单元; （204）上下文分析单元; （205）牵引装置; （206）广告选择单位; （207）广告数据库; （AA）语音数据; （BB）位置数据
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公开(公告)号：KR101217524B1
公开(公告)日：2013-01-18
申请号：KR1020080131755
申请日：2008-12-22
Applicant: 한국전자통신연구원
CPC classification number: G10L15/187 , G10L15/10
Abstract: 본 발명은 고립어 엔베스트 인식결과를 위한 발화검증 방법 및 장치에 있어서, 엔베스트 음성인식을 통해 단어수준에서 인식된 결과에 대해 엔베스트 발화검증을 통해서 신뢰도를 측정하고, 동적 시간 와핑에 의한 음소간 유사도를 측정하여 신뢰도와 유사도를 기반으로 음성인식의 수락/거절 또는 판단불가 등을 표시함으로써 보다 신뢰성 높은 음성인식이 가능하도록 한다.
엔베스트, 발화검증, 음성, 인식, 신뢰도, 유사도-
公开(公告)号：KR101095864B1
公开(公告)日：2011-12-21
申请号：KR1020090027532
申请日：2009-03-31
Applicant: 한국전자통신연구원
Abstract: 본 발명은 연속으로 발성되는 한국어 숫자음성에 대한 음성인식을 수행하여 그 인식 결과에 대해 혼동행렬과 신뢰도 치에 기반하여 다수의 음성인식 후보를 생성하는 기술에 관한 것으로, 혼동행렬은 숫자음성에 대해 오인식이 발생하는 숫자들로 구성되므로, 사전에 실험용 데이터베이스를 사용하여 인식을 수행한다. 또한 음성인식의 결과로 도출되는 숫자별 인식 점수인 통계적 우도를 그 단어의 지속시간 지수인 프레임 수로 나눈 로그 우도비를 신뢰도 치로써 사용하는 것을 특징으로 한다. 본 발명에 의하면, 음성인식 알고리즘에서 성능의 저하 없이 N-best를 생성하기 위해 사용하는 기억장치 사용량과 탐색시간을 절약함으로써 음성인식 엔진의 효율을 높일 수 있다.
음성인식, 숫자음성, N-best, 신뢰도치, 혼동행렬-
公开(公告)号：KR101073934B1
公开(公告)日：2011-10-17
申请号：KR1020080131759
申请日：2008-12-22
Applicant: 한국전자통신연구원
Abstract: 본발명에서는음성과음악이혼합된오디오신호로부터음성과음악을판별함에있어서, 입력오디오신호의프레임으로부터 MFCC(Mel-Frequency Cepstral Coefficient) 특징벡터와음성과음악의판별을위한새로운특징벡터값을추출한후, 각각의특징벡터별로구성되는 GMM 모델을이용한유사도를검사하고, 유사도검사값을이용하여 2차의복합특징벡터값을구성한후, 이를이용하고해당 GMM과비교하는다단계검증과정을거쳐입력오디오신호의구간별음성과음악을판별한다.
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公开(公告)号：KR1020110070496A
公开(公告)日：2011-06-24
申请号：KR1020090127336
申请日：2009-12-18
Applicant: 한국전자통신연구원
CPC classification number: G06F17/30017 , G06F3/041 , G06F9/542 , G06F17/30244 , G06F17/3087 , G06Q50/10
Abstract: PURPOSE: Interactive contents providing device and method in an e-book system are provided to interactive contents by editing the contents provided from CP. CONSTITUTION: CP(Contents Provider)(102,103) generates and provides the contents. A contents making device(110) creates interactive contents by manufacturing and editing the contents received from the CP. The contents making device provides to the interactive contents to the CP. Terminals(105-108,119) receive the interactive contents from the CP and provide the interactive contents to users. The interactive contents comprise script, object data and scene data.
Abstract translation: 目的：通过编辑CP提供的内容，将电子书系统中的互动内容提供设备和方法提供给交互式内容。 构成：CP（内容提供者）（102,103）生成并提供内容。 内容制作装置（110）通过制造和编辑从CP接收的内容来创建交互式内容。 内容制作设备提供给CP的交互内容。 终端（105-108,119）从CP接收交互内容，并向用户提供交互式内容。 交互内容包括脚本，对象数据和场景数据。
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Patent Agency Ranking
公开(公告)号：KR1020110057525A
公开(公告)日：2011-06-01
申请号：KR1020090113966
申请日：2009-11-24
Applicant: 한국전자통신연구원
IPC: G10L21/0272 , G10L15/20
Abstract: PURPOSE: A device for separating a sound source and a method thereof are provided to extract only a desired sound from various sound sources. CONSTITUTION: An input unit(610) changes the offered signal in to a frequency domain. A processing unit(620) divides the sound source of the converted signal in the frequency band unit. The processing unit aligns the separated sound source through the phase difference of a mixed filter for mixing the sound sources. An output unit(630) changes the aligned sound sources into the time domain.
Abstract translation: 目的：提供一种用于分离声源的装置及其方法，以从各种声源提取期望的声音。 构成：输入单元（610）将提供的信号改变为频域。 处理单元（620）以频带单位划分转换信号的声源。 处理单元通过用于混合声源的混合滤波器的相位差来对准分离的声源。 输出单元（630）将对准的声源改变为时域。
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公开(公告)号：KR1020100072838A
公开(公告)日：2010-07-01
申请号：KR1020080131365
申请日：2008-12-22
Applicant: 한국전자통신연구원
CPC classification number: G10L15/08 , G10L15/142
Abstract: PURPOSE: A viterbi decoder and a method for recognizing a voice are provided to prevent the dramatic lowering of an observation probability of a contaminated portion caused by an unintended impulse noise. CONSTITUTION: An optimal state calculator(220) obtains the state of the maximum accumulated similarity in each measurement vector of an observation vector row for the inputted voice. A buffer unit(240) stores an observation probability value for the plural voices inputted prior to the inputted voice. A non-linear filtering unit(250) calculates the observation probability value based on the observation probability value calculated by an observation probability calculator(230). A maximum similarity producer(260) calculates a local maximum similarity value based on the observation probability value.
Abstract translation: 目的：提供维特比解码器和用于识别语音的方法，以防止由非预期脉冲噪声引起的污染部分的观察概率的显着降低。 构成：最佳状态计算器（220）获得输入语音的观测向量行的每个测量向量中的最大累积相似度的状态。 缓冲单元（240）存储在输入的语音之前输入的多个语音的观察概率值。 非线性滤波单元250基于由观测概率计算器计算出的观测概率值来计算观测概率值。 最大相似度生成器（260）基于观察概率值计算局部最大相似度值。
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公开(公告)号：KR1020100072751A
公开(公告)日：2010-07-01
申请号：KR1020080131243
申请日：2008-12-22
Applicant: 한국전자통신연구원
IPC: G10L21/0208 , G10L15/20
Abstract: PURPOSE: A method and an apparatus for reducing noises are provided to reinforce isolation function of voice and noise through voice/noise isolation function like soft masking technique thereby accurately presuming clean voice. CONSTITUTION: A noise estimator(130) presumes noise component within inputted voice signal. A posterior probability estimator(140) presumes posterior probability value from the noise component. A noise parameter adapting unit(150) applies noise Gaussian mixture model to the inputted voice signal. A voice/noise separating unit(160) divides noise and voice signal primarily. A noise removing unit(170) eliminates residual noise components of the voice signal.
Abstract translation: 目的：提供减少噪声的方法和装置，通过语音/噪声隔离功能（如软掩蔽技术）来加强语音和噪声的隔离功能，从而准确地推断干净的声音。 构成：噪声估计器（130）假设输入的语音信号内的噪声分量。 后验概率估计器（140）假设来自噪声分量的后验概率值。 噪声参数适应单元（150）将噪声高斯混合模型应用于输入的语音信号。 语音/噪声分离单元（160）主要分离噪声和语音信号。 噪声去除单元（170）消除语音信号的残余噪声分量。
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公开(公告)号：KR1020080052940A
公开(公告)日：2008-06-12
申请号：KR1020060124748
申请日：2006-12-08
Applicant: 한국전자통신연구원
Abstract: A method for controlling a game character is provided to implement reality in a game by enabling the character to recognize a current game situation and perform a different action in each situation, and reduce calculation quantity and implement high level AI(Artificial Intelligence) with small computer resources by recognizing the situation and controlling the action according to recognition with the same algorithm at the same time. Weight is initialized by using stored weight(S300). A current character location is inputted and propagated in a front direction(S320). A game situation is recognized by using data of a database as input and a target value of an output node is set based on the data(S340). An error value of an output layer is calculated and the weight is corrected by an error reverse propagation technique to minimize the error value(S360). An input layer is corrected and the character location is corrected according to correction of the input layer(S380).
Abstract translation: 提供一种用于控制游戏角色的方法以通过使角色能够识别当前游戏状况并在每种情况下执行不同的动作来实现游戏中的现实，并且减少计算量并且利用小型计算机实现高级AI（人工智能） 资源通过识别情况并根据同一算法的识别同时控制动作。 通过使用存储的重量来初始化重量（S300）。 当前字符位置被输入并沿前方传播（S320）。 通过使用数据库的数据作为输入来识别游戏情况，并且基于数据设置输出节点的目标值（S340）。 计算输出层的误差值，并通过误差反向传播技术校正重量，以使误差值最小化（S360）。 校正输入层，根据输入层的校正对字符位置进行修正（S380）。
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