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公开(公告)号：KR1020110071742A
公开(公告)日：2011-06-29
申请号：KR1020090128386
申请日：2009-12-21
Applicant: 한국전자통신연구원
Abstract: PURPOSE: An utterance verification apparatus based on a word reliability threshold and a method thereof are provided to apply different reliability threshold to each word recognized in a word-based utterance verification system with respect to a voice recognition result. CONSTITUTION: A phoneme segment information extractor(130) extracts phoneme segment information with the analysis of a recognized word. Likelihood value calculators(140,150) calculate an likelihood value for the extracted phoneme and half-phoneme. A threshold calculator(170) calculates a threshold value corresponding to the recognized word. A comparator(190) compares the threshold value with an LLR(Log Likelihood Ratio) calculated by the likelihood value calculator. According to a comparison result, the comparator outputs or secludes a voice recognition result.
Abstract translation: 目的：提供一种基于字可靠性阈值的话语验证装置及其方法，以针对语音识别结果对基于词语的话语验证系统中识别的每个单词应用不同的可靠性阈值。 构成：音素段信息提取器（130）通过识别字词的分析来提取音素段信息。 似然值计算器（140,150）计算提取的音素和半音素的似然值。 阈值计算器（170）计算与所识别的字对应的阈值。 比较器（190）将阈值与由似然值计算器计算的LLR（对数似然比）进行比较。 根据比较结果，比较器输出或隐藏语音识别结果。
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公开(公告)号：KR1020110071738A
公开(公告)日：2011-06-29
申请号：KR1020090128382
申请日：2009-12-21
Applicant: 한국전자통신연구원
Abstract: PURPOSE: A material-distribution search method using a voice recognizing function and a method thereof are provided to search a proper transportation request by searching a distribution in the moving route in real time. CONSTITUTION: The location of a truck is traced and a truck owner selects a freight search mode through a voice(202). If the selected freight search mode is an automatic search mode, the truck owner selects the forward data search or the backward data search through a voice(203,204). If the forward data search is selected, the transportation request information after the current location is provided(205). If the backward data search is selected, the transportation request information prior to the current location is provided(206).
Abstract translation: 目的：提供一种使用语音识别功能的材料分配搜索方法及其方法，用于通过实时搜索移动路线中的分布来搜索适当的运输请求。 宪法：追查卡车的位置，货车所有人通过声音选择货运搜索模式（202）。 如果所选择的货运搜索模式是自动搜索模式，则卡车所有者通过语音选择前向数据搜索或反向数据搜索（203,204）。 如果选择正向数据搜索，则提供当前位置之后的运送请求信息（205）。 如果选择了反向数据搜索，则提供当前位置之前的运输请求信息（206）。
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公开(公告)号：KR1020110071297A
公开(公告)日：2011-06-29
申请号：KR1020090127819
申请日：2009-12-21
Applicant: 한국전자통신연구원
IPC: G10L15/183 , G10L15/28
Abstract: PURPOSE: A voice recognition apparatus for generating a plurality of recognition results is provided to generate N-best recognition results using a phoneme column-based search unit. CONSTITUTION: A continuous voice recognition unit(101) performs the voice recognition of input voice data. The continuous voice recognition unit outputs a word column which is most similar to the input voice data as a recognition result. A phoneme column converter(102) changes the recognition result into a phoneme column. A phoneme column-based search unit(103) searches a plurality of word columns of which a phoneme column distance is contiguity with the recognition result from a language model(105).
Abstract translation: 目的：提供用于产生多个识别结果的语音识别装置，以使用基于音素列的搜索单元产生N最佳识别结果。 构成：连续语音识别单元（101）执行输入语音数据的语音识别。 连续语音识别单元输出与输入语音数据最相似的字列作为识别结果。 音素列转换器（102）将识别结果改变为音素列。 基于音素列的搜索单元（103）搜索与语言模型（105）的识别结果相邻的音素列距离的多个单词列。
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114.发明公开
公开(公告)号：KR1020110070688A
公开(公告)日：2011-06-24
申请号：KR1020100033376
申请日：2010-04-12
Applicant: 한국전자통신연구원
Abstract: PURPOSE: A voice recognition apparatus and method having two-step utterance verification structure for reducing the complexity of N-best recognized word calculation are provided to induce the re-utterance of a user or notify the user of an utterance error. CONSTITUTION: Using a first model, a voice recognition module(130) recognizes the voice of input voice data. The voice recognition module outputs a first N-best word list. An utterance verification module(140) creates a second N-best word list. Using a second model, the utterance verification module creates a final N-best word list from the second N-best word list.
Abstract translation: 目的：提供具有用于降低最佳识别字计算的复杂度的两步话语验证结构的语音识别装置和方法，以引起用户的重新发音或通知用户话语错误。 构成：使用第一模型，语音识别模块（130）识别输入语音数据的语音。 语音识别模块输出第一个N最好的单词列表。 话音验证模块（140）创建第二N个最佳词列表。 使用第二个模型，话语验证模块从第二个N最佳词列表中创建一个最后的N个最佳词列表。
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公开(公告)号：KR1020110030947A
公开(公告)日：2011-03-24
申请号：KR1020090088629
申请日：2009-09-18
Applicant: 한국전자통신연구원
Abstract: PURPOSE: An IPTV broadcasting system, a server and an apparatus for generating a lexicon are provided to offer a lexicon for voice recognition of the IPTV. CONSTITUTION: A pattern database(111) stores a voice generation pattern in order to offer an IPTV(Internet Protocol Television) broadcast service through the voice recognition. Using the voice generation pattern, a lexicon generating unit(110) generates a lexicon for the voice recognition corresponding to a voice command of a user. A structure information extraction unit extracts the extraction type keyword from the IPTV broadcasting information data.
Abstract translation: 目的：提供IPTV广播系统，服务器和用于生成词典的装置，以提供用于IPTV的语音识别的词典。 构成：模式数据库（111）存储语音产生模式，以通过语音识别提供IPTV（因特网协议电视）广播服务。 使用语音生成模式，词典生成单元（110）生成用于与用户的语音命令对应的语音识别的词典。 结构信息提取单元从IPTV广播信息数据中提取提取类型关键字。
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Patent Agency Ranking
公开(公告)号：KR1020100073165A
公开(公告)日：2010-07-01
申请号：KR1020080131759
申请日：2008-12-22
Applicant: 한국전자통신연구원
Abstract: PURPOSE: An apparatus and a method for discriminating a speech from music are provided to accurately discriminate a voice from a music for each section by configuring a complex vector value through a similarity test value. CONSTITUTION: A similarity test unit(104) tests voice or music signal similarity for an audio signal by comparing each feature vector value with a voice and music decision model value by feature vector. A complex feature vector extractor(106) constitutes the complex feature vector value based on similarity test value. A voice/music classification unit(108) discriminate a voice or music signal by section from the audio signal by comparing the corresponding voice and music discrimination model with the complex feature vector.
Abstract translation: 目的：提供一种用于区分语音与音乐的装置和方法，以便通过相似性测试值配置复数向量值来准确地区分每个部分的音乐的声音。 构成：相似性测试单元（104）通过将每个特征向量值与特征向量的语音和音乐决策模型值进行比较来测试音频信号的声音或音乐信号相似度。 复杂特征向量提取器（106）基于相似性测试值构成复特征向量值。 语音/音乐分类单元（108）通过将对应的语音和音乐辨别模型与复杂特征向量进行比较，从音频信号逐个区分语音或音乐信号。
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公开(公告)号：KR1020100072750A
公开(公告)日：2010-07-01
申请号：KR1020080131242
申请日：2008-12-22
Applicant: 한국전자통신연구원
CPC classification number: G06Q30/02 , G06Q30/0255
Abstract: PURPOSE: A method for targeted advertisements is provided to integrate personalized advertising method using user information and contents-based customized advertising method suitable for broadcasting contents and supply hybrid-type customized advertisement to a user, thereby providing an advertisement suitable for tendency of the user in the broadcasting service environment. CONSTITUTION: According to user query input or recommended query input, a customized advertisement server provides advertisement about search query(S501,S503). A VOD(Video On Demand) server provides search result of VOD contents in a list form(S505). If a user selects main contents, the customized advertisement server provides opening advertisement(S507,S511). The VOD server shows program chapter of selected contents(S513). The customized advertisement server provides the real time advertisement(S515).
Abstract translation: 目的：提供一种针对性广告的方法，使用适合于广播内容的用户信息和基于内容的定制广告方式来整合个性化广告方法，并向用户提供混合型定制广告，从而提供适合用户倾向的广告 广播业务环境。 规定：根据用户查询输入或推荐查询输入，定制广告服务器提供关于搜索查询的广告（S501，S503）。 VOD（视频点播）服务器以列表形式提供VOD内容的搜索结果（S505）。 如果用户选择主要内容，则定制广告服务器提供开放广告（S507，S511）。 VOD服务器显示所选内容的节目章节（S513）。 定制广告服务器提供实时广告（S515）。
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公开(公告)号：KR1020100067174A
公开(公告)日：2010-06-21
申请号：KR1020080125621
申请日：2008-12-11
Applicant: 한국전자통신연구원
CPC classification number: H04N21/6125 , G10L15/07 , H04N21/42203 , H04N21/42204 , H04N21/4334 , H04N21/4394 , H04N21/472 , H04N21/8405
Abstract: PURPOSE: A meta data searcher, a search method and an IPTV receiving apparatus for using the voice recognition of user uttered data by previously extracting an allomorph about a contents title are provided to search the contents which user desires by using information search functions and voice recognition. CONSTITUTION: A metadata processor(250) processes content meta data to inform data. A metadata storage unit stores content meta data. A voice recognizer(230) performs the voice recognition about firing data. A query processor(240) extracts the search word from the voice-recognized vocabulary. A search processor extracts content meta data corresponding to the search word.
Abstract translation: 目的：提供一种元数据搜索器，搜索方法和IPTV接收装置，用于通过预先提取关于内容标题的变形来使用用户发出的数据的语音识别，以通过使用信息搜索功能和语音识别来搜索用户期望的内容 。 构成：元数据处理器（250）处理内容元数据以通知数据。 元数据存储单元存储内容元数据。 语音识别器（230）执行关于触发数据的语音识别。 查询处理器（240）从语音识别的词汇表中提取搜索词。 搜索处理器提取与搜索词相对应的内容元数据。
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公开(公告)号：KR1020100062824A
公开(公告)日：2010-06-10
申请号：KR1020090026297
申请日：2009-03-27
Applicant: 한국전자통신연구원
Abstract: PURPOSE: An utterance verification apparatus and a method thereof are provided, which can improve the reliability about the voice recognition result by performing the whole utterance verification about the word after the performance of the partial utterance verification about each sub word. CONSTITUTION: A sub word likelihood ratio calculator(204) calculates the sub word likelihood ratio about the divided sub word. A likelihood ratio weight applying unit(206) applies the weighted value of likelihood ratio according to the recognition reliability to the calculated sub word likelihood ratio. A word likelihood ratio calculator(208) calculates the word likelihood ratio by using the sub word likelihood ratio. A speech verification decision unit(210) decides the output of the word after the utterance verification with the calculated word likelihood ratio.
Abstract translation: 目的：提供一种话语验证装置及其方法，通过在关于每个子字的部分话语验证之后执行关于该单词的整个话语验证，可提高语音识别结果的可靠性。 构成：子字似然比计算器（204）计算关于分割子字的子字似然比。 似然比权重赋予单元（206）将识别可靠性的似然比的加权值应用于计算出的子字似然比。 字似然比计算器（208）通过使用子字似然比来计算字似然比。 语音验证判定单元（210）用所计算的字似然比来确定在话语验证之后的单词的输出。
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公开(公告)号：KR100920267B1
公开(公告)日：2009-10-05
申请号：KR1020070094047
申请日：2007-09-17
Applicant: 한국전자통신연구원
Abstract: 본 발명에 따른 음성 대화 분석 시스템은 음성 대화 시스템에서 빈번히 발생할 수 있는 생략어나 대용어를 통계적 방법 및 규칙 기반 오류 후처리에 의해서 자동으로 인식하여 복원하여줌으로써, 사용자 확인 절차를 간소화시켜 사용자 편의성을 높이고 사용자의 간단한 발화에 시스템이 지능적으로 대처할 수 있게 한다.
음성, 대화, 분석, 생략어, 대용어, 복원
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