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1. 发明申请

US20130138441A1 METHOD AND SYSTEM FOR GENERATING SEARCH NETWORK FOR VOICE RECOGNITION 审中-公开
标题翻译：用于生成语音识别的搜索网络的方法和系统
公开(公告)号：US20130138441A1
公开(公告)日：2013-05-30
申请号：US13585475
申请日：2012-08-14
申请人： Seung Hi Kim , Dong Hyun Kim , Young Ik Kim , Jun Park , Hoon Young Cho , Sang Hun Kim
发明人： Seung Hi Kim , Dong Hyun Kim , Young Ik Kim , Jun Park , Hoon Young Cho , Sang Hun Kim
IPC分类号： G10L15/04
CPC分类号： G10L15/083 , G10L15/187
摘要： Disclosed is a method of generating a search network for voice recognition, the method including: generating a pronunciation transduction weighted finite state transducer by implementing a pronunciation transduction rule representing a phenomenon of pronunciation transduction between recognition units as a weighted finite state transducer; and composing the pronunciation transduction weighted finite state transducer and one or more weighted finite state transducers.
摘要翻译：本发明公开了一种生成用于语音识别的搜索网络的方法，该方法包括：通过实现表示作为加权有限状态换能器的识别单元之间的语音转换现象的语音转换规则，生成语音转导加权有限状态换能器; 并组合发音转导加权有限状态换能器和一个或多个加权有限状态换能器。

2. 发明申请

US20120109650A1 APPARATUS AND METHOD FOR CREATING ACOUSTIC MODEL 审中-公开
标题翻译：用于创建声学模型的装置和方法
公开(公告)号：US20120109650A1
公开(公告)日：2012-05-03
申请号：US13284095
申请日：2011-10-28
申请人： Hoon-Young CHO , Young-Ik Kim , Il-Bin Lee , Seung-Hi Kim , Jun Park , Dong-Hyun Kim , Sang-Hun Kim
发明人： Hoon-Young CHO , Young-Ik Kim , Il-Bin Lee , Seung-Hi Kim , Jun Park , Dong-Hyun Kim , Sang-Hun Kim
IPC分类号： G10L15/14
CPC分类号： G10L15/144 , G10L15/285
摘要： Disclosed herein is an apparatus and method for creating an acoustic model. The apparatus includes a binary tree creation unit, an information creation unit, and a binary tree reduction unit. The binary tree creation unit creates a binary tree by repeatedly merging a plurality of Gaussian components for each Hidden Markov Model (HMM) state of an acoustic model based on a distance measure reflecting a variation in likelihood score. The information creation unit creates information about information about the largest size of the acoustic model in accordance with a platform including a speech recognizer. The binary tree reduction unit reduces the binary tree in accordance with the information about the largest size of the acoustic model.
摘要翻译：本文公开了一种用于创建声学模型的装置和方法。该装置包括二叉树创建单元，信息创建单元和二进制树缩小单元。二叉树创建单元通过基于反映可能性得分的变化的距离度量反复地合并声学模型的每个隐马尔可夫模型（HMM）状态的多个高斯分量来创建二叉树。信息创建单元根据包括语音识别器的平台创建关于声学模型的最大尺寸的信息。二叉树缩小单元根据关于声学模型的最大尺寸的信息减少二叉树。

3. 发明申请

US20100070274A1 APPARATUS AND METHOD FOR SPEECH RECOGNITION BASED ON SOUND SOURCE SEPARATION AND SOUND SOURCE IDENTIFICATION 审中-公开
标题翻译：基于声源分离和声源鉴定的语音识别装置和方法
公开(公告)号：US20100070274A1
公开(公告)日：2010-03-18
申请号：US12498544
申请日：2009-07-07
申请人： Hoon-Young CHO , Sang Kyu Park , Jun Park , Seung Hi Kim , Ilbin Lee , Kyuwoong Hwang , Hyung-Bae Jeon , Yunkeun Lee
发明人： Hoon-Young CHO , Sang Kyu Park , Jun Park , Seung Hi Kim , Ilbin Lee , Kyuwoong Hwang , Hyung-Bae Jeon , Yunkeun Lee
IPC分类号： G10L15/20 , G10L21/02 , G10L15/14
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166
摘要： An apparatus for a speech recognition based on source separation and identification includes: a sound source separator for separating mixed signals, which are input to two or more microphones, into sound source signals by using independent component analysis (ICA), and estimating direction information of the separated sound source signals; and a speech recognizer for calculating normalized log likelihood probabilities of the separated sound source signals. The apparatus further includes a speech signal identifier identifying a sound source corresponding to a user's speech signal by using both of the estimated direction information and the reliability information based on the normalized log likelihood probabilities.
摘要翻译：一种用于基于源分离和识别的语音识别装置，包括：通过使用独立分量分析（ICA）将输入到两个或多个麦克风的混合信号分离成声源信号的声源分离器，并且估计方向信息分离的声源信号; 以及用于计算分离的声源信号的归一化对数似然概率的语音识别器。该装置还包括基于归一化对数似然概率，通过使用估计的方向信息和可靠性信息来识别与用户的语音信号相对应的声源的语音信号标识符。

4. 发明授权

US08015016B2 Automatic translation method and system based on corresponding sentence pattern 失效
标题翻译：基于相应句型的自动翻译方法和系统
公开(公告)号：US08015016B2
公开(公告)日：2011-09-06
申请号：US11924102
申请日：2007-10-25
申请人： Jun Park , Seung Hi Kim , Hyung Bae Jeon , Young Jik Lee , Hoon Chung
发明人： Jun Park , Seung Hi Kim , Hyung Bae Jeon , Young Jik Lee , Hoon Chung
IPC分类号： G10L21/00 , G06F17/27 , G06F17/28
CPC分类号： G10L15/18 , G06F17/2872 , G10L13/10
摘要： Provided are an automatic speech translation system and a method for obtaining accurate translation performance with a simple structure. Because input and output sentences are written in different languages, automatic speech translation requires techniques for processing different languages. Repetition of text processing like morpheme analysis or sentence parsing in conventional automatic speech translation can complicate the overall translation process. Meanwhile, although input and output sentences are written in different languages, they have to have the same meaning and a corresponding sentence form and words. Accordingly, the corresponding words and sentence forms of the two languages can be expressed with a simple structure and utilized in the automatic speech translation process, thereby maintaining consistency during the process and avoiding unnecessary process repetition, which reduces errors and improves performance.
摘要翻译：提供了一种自动语音翻译系统和一种以简单的结构获得准确的翻译性能的方法。由于输入和输出句子是用不同的语言编写的，所以自动语音翻译需要处理不同语言的技术。在常规自动语音翻译中重复文本处理，如语素分析或句法解析可能会使整个翻译过程复杂化。同时，虽然输入和输出句子是用不同的语言编写的，但它们必须具有相同的含义和相应的句子形式和单词。因此，两种语言的对应单词和句子形式可以用简单的结构表示，并在自动语音翻译过程中使用，从而保持过程中的一致性，避免不必要的过程重复，从而减少错误并提高性能。

5. 发明申请

US20110054883A1 SPEECH UNDERSTANDING SYSTEM USING AN EXAMPLE-BASED SEMANTIC REPRESENTATION PATTERN 有权
标题翻译：使用基于示例的语义表示模式的语音理解系统
公开(公告)号：US20110054883A1
公开(公告)日：2011-03-03
申请号：US12622060
申请日：2009-11-19
申请人： Seung Yun , Seung Hi Kim , Jun Park , Jeong Se Kim , Ilbin Lee , Soo Jong Lee , Sanghun Kim , Sang Kyu Park
发明人： Seung Yun , Seung Hi Kim , Jun Park , Jeong Se Kim , Ilbin Lee , Soo Jong Lee , Sanghun Kim , Sang Kyu Park
IPC分类号： G06F17/27
CPC分类号： G06F17/2755 , G06F17/2785 , G10L15/1815
摘要： A speech understanding apparatus includes: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence; a class transformation unit for performing class transformation on the sentence; a semantic representation determination unit for marking optional expressions for the sentence, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation.
摘要翻译：语音理解装置包括：语音识别单元，用于识别输入语音以产生语音识别结果; 句子分析单元，用于对与语音识别结果相对应的句子执行语素分析，提取附加信息，并执行语法分析; 用于描述句子的层次结构的层次描述单元; 用于对句子进行类转换的类变换单元; 语义表示确定单元，用于标记句子的可选表达式，删除无意义表达式和附加信息，将该句子转换成其基本形式，以及删除语素标签或符号以确定语义表示; 语义表示检索单元，用于从基于示例的语义表示模式数据库中检索所确定的语义表示; 以及检索结果处理单元，用于选择性地产生检索的语义表示。

6. 发明授权

US08370130B2 Speech understanding system using an example-based semantic representation pattern 有权
标题翻译：语言理解系统使用基于示例的语义表示模式
公开(公告)号：US08370130B2
公开(公告)日：2013-02-05
申请号：US12622060
申请日：2009-11-19
申请人： Seung Yun , Seung Hi Kim , Jun Park , Jeong Se Kim , Ilbin Lee , Soo Jong Lee , Sanghun Kim , Sang Kyu Park
发明人： Seung Yun , Seung Hi Kim , Jun Park , Jeong Se Kim , Ilbin Lee , Soo Jong Lee , Sanghun Kim , Sang Kyu Park
IPC分类号： G06F17/27
CPC分类号： G06F17/2755 , G06F17/2785 , G10L15/1815
摘要： A speech understanding apparatus includes: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence; a class transformation unit for performing class transformation on the sentence; a semantic representation determination unit for marking optional expressions for the sentence, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation.
摘要翻译：语音理解装置包括：语音识别单元，用于识别输入语音以产生语音识别结果; 句子分析单元，用于对与语音识别结果相对应的句子执行语素分析，提取附加信息，并执行语法分析; 用于描述句子的层次结构的层次描述单元; 用于对句子进行类转换的类变换单元; 语义表示确定单元，用于标记句子的可选表达式，删除无意义表达式和附加信息，将该句子转换成其基本形式，以及删除语素标签或符号以确定语义表示; 语义表示检索单元，用于从基于示例的语义表示模式数据库中检索所确定的语义表示; 以及检索结果处理单元，用于选择性地产生检索的语义表示。

7. 发明授权

US08032374B2 Method and apparatus for recognizing continuous speech using search space restriction based on phoneme recognition 有权
标题翻译：基于音素识别的搜索空间限制识别连续语音的方法和装置
公开(公告)号：US08032374B2
公开(公告)日：2011-10-04
申请号：US11950130
申请日：2007-12-04
申请人： Hyung Bae Jeon , Jun Park , Seung Hi Kim , Kyu Woong Hwang
发明人： Hyung Bae Jeon , Jun Park , Seung Hi Kim , Kyu Woong Hwang
IPC分类号： G10L15/04
CPC分类号： G10L15/187 , G10L2015/025
摘要： Provided are an apparatus and method for recognizing continuous speech using search space restriction based on phoneme recognition. In the apparatus and method, a search space can be primarily reduced by restricting connection words to be shifted at a boundary between words based on the phoneme recognition result. In addition, the search space can be secondarily reduced by rapidly calculating a degree of similarity between the connection word to be shifted and the phoneme recognition result using a phoneme code and shifting the corresponding phonemes to only connection words having degrees of similarity equal to or higher than a predetermined reference value. Therefore, the speed and performance of the speech recognition process can be improved in various speech recognition services.
摘要翻译：提供了一种使用基于音素识别的搜索空间限制来识别连续语音的装置和方法。在该装置和方法中，可以通过基于音素识别结果来限制在字之间的边界处被移位的连接字来主要减少搜索空间。此外，通过使用音素码快速计算要移位的连接字和音素识别结果之间的相似度的程度，可以二次减小搜索空间，并将相应的音素移位到仅具有等于或更高相似度的相似度的连接词比预定的参考值。因此，可以在各种语音识别服务中提高语音识别处理的速度和性能。

8. 发明申请

US20080133239A1 METHOD AND APPARATUS FOR RECOGNIZING CONTINUOUS SPEECH USING SEARCH SPACE RESTRICTION BASED ON PHONEME RECOGNITION 有权
标题翻译：使用基于语音识别的搜索空间限制来识别连续语音的方法和装置
公开(公告)号：US20080133239A1
公开(公告)日：2008-06-05
申请号：US11950130
申请日：2007-12-04
申请人： Hyung Bae Jeon , Jun Park , Seung Hi Kim , Kyu Woong Hwang
发明人： Hyung Bae Jeon , Jun Park , Seung Hi Kim , Kyu Woong Hwang
IPC分类号： G10L15/04
CPC分类号： G10L15/187 , G10L2015/025
摘要： Provided are an apparatus and method for recognizing continuous speech using search space restriction based on phoneme recognition. In the apparatus and method, a search space can be primarily reduced by restricting connection words to be shifted at a boundary between words based on the phoneme recognition result. In addition, the search space can be secondarily reduced by rapidly calculating a degree of similarity between the connection word to be shifted and the phoneme recognition result using a phoneme code and shifting the corresponding phonemes to only connection words having degrees of similarity equal to or higher than a predetermined reference value. Therefore, the speed and performance of the speech recognition process can be improved in various speech recognition services.
摘要翻译：提供了一种使用基于音素识别的搜索空间限制来识别连续语音的装置和方法。在该装置和方法中，可以通过基于音素识别结果来限制在字之间的边界处被移位的连接字来主要减少搜索空间。此外，通过使用音素码快速计算要移位的连接字和音素识别结果之间的相似度的程度，可以二次减小搜索空间，并将相应的音素移位到仅具有等于或更高相似度的相似度的连接词比预定的参考值。因此，可以在各种语音识别服务中提高语音识别处理的速度和性能。

9. 发明授权

US6125344A Pitch modification method by glottal closure interval extrapolation 失效
标题翻译：通过声门闭合间隔推断进行间距修正
公开(公告)号：US6125344A
公开(公告)日：2000-09-26
申请号：US137606
申请日：1998-08-21
申请人： Dong Gyu Kang , Jung Chul Lee , Sang Hun Kim , Jun Park
发明人： Dong Gyu Kang , Jung Chul Lee , Sang Hun Kim , Jun Park
IPC分类号： G10L21/003 , G10L21/013 , G10L21/04 , G10L21/00 , G10L13/00
CPC分类号： G10L21/003 , G10L21/04 , G10L21/013
摘要： The present invention relates to an improved pitch modification method by glottal closure interval extrapolation. It is an object of the present invention to modify pitches of speech signals by the glottal closure interval extrapolation and to maintain quality of the modified speech, when concatenating original speech segments to synthesize speech. An input speech signal is converted into a digital speech signal. A glottal closure interval is detected in the digital speech signal so as to estimate vocal tract parameters by using pitch synchronous analysis. Vocal tract characteristic signals of the glottal closure interval and glottal characteristic signals of a glottal open interval are separated from each other according to the detected glottal closure interval. The separated vocal tract characteristic signals are extrapolated and reduced to a desired pitch length by the estimated vocal tract parameter. The extrapolated and reduced vocal tract characteristic signals are overlapped and added to the separated glottal characteristic signal so as to generate a synthetic speech signal which varies in a desired pitch length.
摘要翻译：本发明涉及通过声门闭合间隔外推的改进的间距改变方法。本发明的目的是通过声门闭合间隔外推来修改语音信号的音调，并且当连接原始语音片段以合成语音时，保持修改的语音的质量。输入语音信号被转换为数字语音信号。在数字语音信号中检测到声门闭合间隔，以便通过使用音调同步分析来估计声道参数。根据检测到的声门闭合间隔，声门闭合间隔和声门开放间隔的声门特征信号的声道特征信号彼此分离。分离的声道特征信号通过估计的声道参数被外推并减小到期望的音高。外推和降低的声道特征信号被重叠并添加到分离的声门特征信号中，以产生以所需音调长度变化的合成语音信号。

10. 发明申请

US20100145680A1 METHOD AND APPARATUS FOR SPEECH RECOGNITION USING DOMAIN ONTOLOGY 有权
标题翻译：使用领域本体论的语音识别的方法和装置
公开(公告)号：US20100145680A1
公开(公告)日：2010-06-10
申请号：US12551812
申请日：2009-09-01
申请人： Seung YUN , Soo Jong Lee , Jeong Se Kim , Il Bin Lee , Jun Park , Sang Kyu Park
发明人： Seung YUN , Soo Jong Lee , Jeong Se Kim , Il Bin Lee , Jun Park , Sang Kyu Park
IPC分类号： G06F17/21 , G10L15/00
CPC分类号： G10L15/1815 , G10L15/183
摘要： A speech recognition method using a domain ontology includes: constructing domain ontology DB; forming a speech recognition grammar using the formed domain ontology DB; extracting a feature vector from a speech signal; modeling the speech signal using an acoustic model. The method performs speech recognition by using the acoustic model, the speech recognition dictionary and the speech recognition grammar on the basis of the feature vector.
摘要翻译：使用域本体的语音识别方法包括：构建域本体DB; 使用形成的域本体DB形成语音识别语法; 从语音信号中提取特征向量; 使用声学模型对语音信号进行建模。该方法基于特征向量，通过使用声学模型，语音识别字典和语音识别语法进行语音识别。

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