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公开(公告)号：KR1020100072746A
公开(公告)日：2010-07-01
申请号：KR1020080131238
申请日：2008-12-22
Applicant: 한국전자통신연구원
IPC: G10L15/20 , G10L21/0208 , G10L21/0272
Abstract: PURPOSE: A method and an apparatus for reducing a multi channel noise are provided to selectively apply beam-forming method and sound source separating method according to environment condition among multi-channel noises processing based on multi-channel voice recognition environment thereby maximizing noise processing performance. CONSTITUTION: A noise environment monitoring unit(210) grasps the number of sound source and background sound source and relative location information of user voice. According to how many information of the sound source and the relative location information of the background sound source and the user voice, a multi-channel noise processor(220) selects multi-channel noise processing methods among a plurality of multi-channel noises processing modes. The multi-channel noise processor performs noises processing by selected multi-channel noise processing method.
Abstract translation: 目的：提供一种降低多通道噪声的方法和装置，以便根据多声道噪声处理，根据环境条件选择性地应用波束形成方法和声源分离方法，从而使噪声处理性能最大化 。 构成：噪声环境监测单元（210）掌握用户声音的声源和背景声源的数量和相对位置信息。 根据声源的多少信息和背景声源和用户声音的相对位置信息，多声道噪声处理器（220）在多个多声道噪声处理模式中选择多声道噪声处理方法 。 多声道噪声处理器通过选择的多声道噪声处理方法进行噪声处理。
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公开(公告)号：KR1020100072731A
公开(公告)日：2010-07-01
申请号：KR1020080131221
申请日：2008-12-22
Applicant: 한국전자통신연구원
CPC classification number: G01C21/3608 , G01C21/3611 , G01C21/3679 , G10L15/26
Abstract: PURPOSE: An apparatus for generating keyword for speech recognition for a navigation device is provided to enable a retrieval service of POI through voice by automatically producing the allomorph of POI which a user can say to a navigation device. CONSTITUTION: An apparatus for generating keyword for speech recognition in navigation device comprises a statistical model studying unit(202) and an allomorph generating unit. The statistical model studying unit analyzes the POI character strings. The statistical model studying unit builds probability value as statistical information. The allomorph generating unit creates the allomorphs on POI name using the statistical information.
Abstract translation: 目的：提供一种用于为导航装置生成用于语音识别的关键词的装置，以通过自动产生用户可以对导航装置说的POI的变体，从而通过语音实现POI的检索服务。 构成：用于在导航装置中生成用于语音识别的关键词的装置，包括统计模型研究单元（202）和变形生成单元。 统计模型研究单位分析POI字符串。 统计模型研究单位建立概率值作为统计信息。 变异生成单元使用统计信息在POI名称上创建变形。
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公开(公告)号：KR1020100066916A
公开(公告)日：2010-06-18
申请号：KR1020080125433
申请日：2008-12-10
Applicant: 한국전자통신연구원
IPC: G10L99/00
Abstract: PURPOSE: A method for separating noise from an audio signal is provided to increase performance of sound source separation and increase convergence speed in a weighted learning stage, thereby increasing calculation efficiency. CONSTITUTION: A plurality of microphones records an audio signal that a user speaks and a noise signal. A beam former(20) performs a beam forming process and a blind processing separation procedure for the recorded audio signal and noise signal. The beam former spatially and statistically divides the audio signal and the noise signal. A sound source separator(30) separates the sound source signal and outputs the separated sound source signal.
Abstract translation: 目的：提供一种从音频信号中分离噪声的方法，以增加声源分离的性能，增加加权学习阶段的收敛速度，从而提高计算效率。 构成：多个麦克风记录用户说话的音频信号和噪声信号。 波束成形器（20）对记录的音频信号和噪声信号执行波束形成处理和盲目处理分离程序。 波束形成器在空间和统计学上划分音频信号和噪声信号。 声源分离器（30）分离声源信号并输出分离的声源信号。
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公开(公告)号：KR1020100026187A
公开(公告)日：2010-03-10
申请号：KR1020080085095
申请日：2008-08-29
Applicant: 한국전자통신연구원
IPC: G10L15/08 , G10L15/26 , H04N21/438
Abstract: PURPOSE: A voice recognition information generation device, a method thereof, and a broadcast service method thereof are provided to generate a database from allomorph character string, thereby offering a broadcast service according to voice recognition. CONSTITUTION: A voice recognition information generation device includes a prior matching unit(302), a section boundary partition unit(308), a normalization unit(310), and an allomorph generation unit(312). The prior matching unit performs prior matching according to character string information of broadcast data. The section boundary partition unit partitions the section boundary of a character string of which prior matching is performed in order to generate voice recognition target character string data. The normalization unit normalizes generated voice recognition target character string. The allomorph generation unit generates allomorph character string data from normalized voice recognition target character string data.
Abstract translation: 目的：提供一种语音识别信息生成装置，其方法和广播服务方法，以从变形字符串生成数据库，从而根据语音识别提供广播服务。 构成：语音识别信息生成装置包括先验匹配单元（302），区间边界分割单元（308），归一化单元（310）和变形函数生成单元（312）。 先前的匹配单元根据广播数据的字符串信息执行先前的匹配。 区段边界分割单元对执行了先前匹配的字符串的区域边界进行分割，以便生成语音识别目标字符串数据。 归一化单元对生成的语音识别目标字符串进行归一化。 变形生成单元从归一化的语音识别目标字符串数据生成变形字符串数据。
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公开(公告)号：KR100930039B1
公开(公告)日：2009-12-07
申请号：KR1020070133217
申请日：2007-12-18
Applicant: 한국전자통신연구원
CPC classification number: G10L15/01
Abstract: An apparatus for evaluating the performance of speech recognition includes a speech database for storing N-number of test speech signals for evaluation. A speech recognizer is located in an actual environment and executes the speech recognition of the test speech signals reproduced using a loud speaker from the speech database in the actual environment to produce speech recognition results. A performance evaluation module evaluates the performance of the speech recognition by comparing correct recognition results answers with the speech recognition results.
Abstract translation: 用于评估语音识别性能的装置包括用于存储N个用于评估的测试语音信号的语音数据库。 语音识别器位于实际环境中，并且在实际环境中从语音数据库执行使用扬声器再现的测试语音信号的语音识别以产生语音识别结果。 性能评估模块通过比较正确的识别结果答案和语音识别结果来评估语音识别的性能。
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Patent Agency Ranking
公开(公告)号：KR100911429B1
公开(公告)日：2009-08-11
申请号：KR1020070084301
申请日：2007-08-22
Applicant: 한국전자통신연구원
IPC: G10L21/0208 , G10L15/20 , G10L15/06
CPC classification number: G10L15/20
Abstract: 본 발명은 잡음 적응형 변별 학습 방법을 포함하는 잡음 적응형 음향 모델 생성 방법 및 장치에 관한 것으로서, 다양한 환경 잡음을 포함하는 대규모 음성 학습 데이터로부터 기본 음향 모델 파라미터를 생성하는 단계 및 상기 생성된 기본 음향 모델 파라미터를 입력받아 변별 학습 기법을 적용하여 실제 정용 환경에 적합한 적응형 음향 모델 파라미터를 생성하는 단계를 포함하는 잡음 적응형 음향 모델 생성 방법을 제공할 수 있다.
음향 모델, 환경 잡음-
公开(公告)号：KR1020090065746A
公开(公告)日：2009-06-23
申请号：KR1020070133217
申请日：2007-12-18
Applicant: 한국전자통신연구원
CPC classification number: G10L15/01
Abstract: A device and a method for evaluating performance of a speech recognition engine are provided to require no interference of a person in any noise environment by adjusting an SNR(Signal-to-Noise Ratio) based on free volume control of a speech sound in a speaker. An evaluation speech database(201) stores evaluation speeches. An automatic voice recognition evaluator(203) plays the stored evaluation speech. The automatic voice recognition evaluator transmits an answer list and an audio signal file of evaluation data when voice recognition control for the evaluation data is completed. A speech recognizer(207) recognizes voice, and stores a voice recognition result list and a voice signal file used in voice recognition. A performance evaluation block(209) evaluates performance of a voice recognizer by comparing the answer list and the audio file with the voice recognition result list and the voice signal file.
Abstract translation: 提供了一种用于评估语音识别引擎的性能的装置和方法，用于通过基于扬声器中的语音的自由音量控制来调整SNR（信噪比）来不要求任何噪声环境中的人的干扰 。 评价语音数据库（201）存储评价语句。 自动语音识别评估器（203）播放存储的评估语音。 当评估数据的语音识别控制完成时，自动语音识别评估器发送评估数据的答案列表和音频信号文件。 语音识别器（207）识别语音，并存储语音识别结果列表和用于语音识别的语音信号文件。 性能评估块（209）通过将应答列表和音频文件与语音识别结果列表和语音信号文件进行比较来评估语音识别器的性能。
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公开(公告)号：KR1020090061566A
公开(公告)日：2009-06-16
申请号：KR1020080088318
申请日：2008-09-08
Applicant: 한국전자통신연구원
IPC: G10L15/20
Abstract: A microphone array-based voice recognition system and a target voice extracting method in the system are provided to automatically find out one target voice uttered for voice recognition by using an HMM(Hidden Markov Model) and a GMM(Gaussian Mixture Model), thereby obtaining a higher recognition rate even in case of noise existence. A signal separator(110) separates mixed signals individually inputted through plural microphones into sound source signals through independent component analysis. A target voice extractor(120) extracts one target voice uttered for voice recognition among the separated sound source signals. A voice recognizer(130) recognizes a desired voice through the extracted target voice. An additional information unit transmits additional information used for the extraction of the target voice to the target voice extractor.
Abstract translation: 提供了一种基于麦克风阵列的语音识别系统和系统中的目标语音提取方法，通过使用HMM（隐马尔可夫模型）和GMM（高斯混合模型）自动找出发出语音识别的一个目标语音，从而获得 甚至在噪声存在的情况下也具有更高的识别率。 信号分离器（110）通过独立分量分析将通过多个麦克风分别输入的混合信号分离成声源信号。 目标语音提取器（120）在分离的声源信号之间提取用于语音识别发出的一个目标语音。 语音识别器（130）通过所提取的目标语音来识别期望的语音。 附加信息单元将用于提取目标语音的附加信息发送到目标语音提取器。
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69.发明授权대화체 연속음성인식을 위한 의사형태소 기반다중발음사전 구축 방법 및 그 시스템과 이를 이용한대화체 음성인식 방법 有权多发音词典结构化基于用于自发语音识别的伪语素的方法和系统，以及通过使用结构化系统进行语音识别的方法
公开(公告)号：KR100573870B1
公开(公告)日：2006-04-26
申请号：KR1020030071937
申请日：2003-10-15
Applicant: 한국전자통신연구원
Inventor： 강병옥
IPC: G10L15/06
Abstract: 본 발명은 대화체 음성에서 빈번하게 나타나는 발음변이를 의사형태소 기반의 대표어휘에 수용하여 확장된 다중 발음사전을 구성하고 대표어휘만을 이용하여 언어모델 및 어휘사전을 구성함으로써, 대화체 연속음성인식의 성능을 향상시키고 정형화된 출력패턴을 얻을 수 있는 다중발음사전 구축 방법 및 시스템과 이를 이용한 대화체 음성인식 방법에 관한 것이다.
본 발명은 대화체 텍스트 코퍼스로부터 대표음 텍스트 코퍼스와 변이음 텍스트 코퍼스를 각각 추출하는 단계와, 대표음 및 변이음 텍스트 코퍼스 각각에 대해 의사형태소 분석 및 태깅을 수행하는 단계와, 태깅 결과를 어절별로 비교하여 의사형태소 단위의 대표음/변이음 쌍들을 추출하는 단계와, 대표음 코퍼스만의 의사형태소 태깅 결과로부터 대표음 어휘사전을 생성하는 단계와, 대표음 어휘사전과 대표음/변이음 쌍 추출 결과를 통해 다중발음사전 및 대표음 언어모델을 생성하는 단계로 이루어진다.
의사형태소, 다중 발음사전, 언어모델, 연속음성인식 시스템, 발음변이 -
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