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1. 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。

2. 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。

3. 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。

4. 发明申请

US20090150146A1 MICROPHONE ARRAY BASED SPEECH RECOGNITION SYSTEM AND TARGET SPEECH EXTRACTING METHOD OF THE SYSTEM 失效
标题翻译：基于麦克风阵列的语音识别系统和目标语音提取方法
公开(公告)号：US20090150146A1
公开(公告)日：2009-06-11
申请号：US12242819
申请日：2008-09-30
申请人： Hoon Young CHO , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
发明人： Hoon Young CHO , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
IPC分类号： G10L15/20
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166
摘要： A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.
摘要翻译：提供了一种基于麦克风阵列的语音识别系统，该系统使用盲源分离（BBS）和目标语音提取方法。语音识别系统执行独立分量分析（ICA）以将通过多个麦克风输入的混合信号分离成声源信号，通过使用高斯混合模型从分离的声源信号中提取用于语音识别的一个目标语音（ GMM）或隐马尔可夫模型（HMM），并且从所提取的目标语音中自动识别期望的语音。因此，即使在噪声环境中也可以获得高的语音识别率。

5. 发明授权

US09390426B2 Personalized advertisement device based on speech recognition SMS service, and personalized advertisement exposure method based on partial speech recognition SMS service 有权
标题翻译：基于语音识别SMS服务的个性化广告设备，以及基于部分语音识别短信服务的个性化广告曝光方法
公开(公告)号：US09390426B2
公开(公告)日：2016-07-12
申请号：US13604006
申请日：2012-09-05
申请人： Hoon Chung , Jeon Gue Park , Hyung Bae Jeon , Ki Young Park , Yun Keun Lee , Sang Kyu Park
发明人： Hoon Chung , Jeon Gue Park , Hyung Bae Jeon , Ki Young Park , Yun Keun Lee , Sang Kyu Park
IPC分类号： G10L15/00 , G10L21/00 , H04M3/00 , G06Q30/02 , G10L15/26 , G10L25/63
CPC分类号： G06Q30/02 , G10L15/26 , G10L15/265 , G10L25/63
摘要： Disclosed are a personalized advertisement device based on speech recognition SMS services and a personalized advertisement exposure method based on speech recognition SMS services. The present invention provides a personalized advertisement device based on speech recognition SMS services and a personalized advertisement exposure method based on speech recognition SMS services capable of maximizing an effect of advertisement by grasping user's intention, an emotion state, and positional information from speech data uttered by a user during a process of providing speech recognition SMS services, configuring advertisements from when speech data begins conversion to when it has been completely converted by the speech recognition into character strings, and exposing the configured advertisements to a user.
摘要翻译：公开了基于语音识别SMS服务的个性化广告设备和基于语音识别SMS服务的个性化广告曝光方法。本发明提供了一种基于语音识别SMS服务的个性化广告设备和基于语音识别SMS服务的个性化广告曝光方法，该服务能够通过从用户的意图，感情状态和来自语音数据发出的语音数据中获取最大化广告效果在提供语音识别SMS服务的过程中的用户，从语音数据开始转换到通过语音识别被完全转换成字符串的配置的广告，以及将配置的广告暴露给用户。

6. 发明授权

US08249867B2 Microphone array based speech recognition system and target speech extracting method of the system 失效
标题翻译：基于麦克风阵列的语音识别系统和系统的目标语音提取方法
公开(公告)号：US08249867B2
公开(公告)日：2012-08-21
申请号：US12242819
申请日：2008-09-30
申请人： Hoon Young Cho , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
发明人： Hoon Young Cho , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
IPC分类号： G10L15/20
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166
摘要： A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.
摘要翻译：提供了一种基于麦克风阵列的语音识别系统，该系统使用盲源分离（BBS）和目标语音提取方法。语音识别系统执行独立分量分析（ICA）以将通过多个麦克风输入的混合信号分离成声源信号，通过使用高斯混合模型从分离的声源信号中提取用于语音识别的一个目标语音（ GMM）或隐马尔可夫模型（HMM），并且从所提取的目标语音中自动识别期望的语音。因此，即使在噪声环境中也可以获得高的语音识别率。

7. 发明授权

US08666739B2 Method for estimating language model weight and system for the same 失效
标题翻译：用于估计语言模型权重和系统的方法
公开(公告)号：US08666739B2
公开(公告)日：2014-03-04
申请号：US13324414
申请日：2011-12-13
申请人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
发明人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/187
摘要： Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.
摘要翻译：本发明的方法可以包括接收从语音信号转换的语音特征向量，通过对接收的语音特征向量应用第一语言模型来执行第一搜索，并且将字格的字格和第一声分数输出为连续语音识别结果，输出第二声学分数作为音素识别结果，通过对语音特征向量应用声学模型，将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较，当第一个coustic分数输出第一语言模型权重时，连续语音识别结果比音素识别结果的第二声分数更好，并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。

8. 发明申请

US20130117020A1 PERSONALIZED ADVERTISEMENT DEVICE BASED ON SPEECH RECOGNITION SMS SERVICE, AND PERSONALIZED ADVERTISEMENT EXPOSURE METHOD BASED ON SPEECH RECOGNITION SMS SERVICE 有权
标题翻译：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式短信服务
公开(公告)号：US20130117020A1
公开(公告)日：2013-05-09
申请号：US13604006
申请日：2012-09-05
申请人： Hoon CHUNG , Jeon Gue Park , Hyung Bae Jeon , Ki Young Park , Yun Keun Lee , Sang Kyu Park
发明人： Hoon CHUNG , Jeon Gue Park , Hyung Bae Jeon , Ki Young Park , Yun Keun Lee , Sang Kyu Park
IPC分类号： G10L15/00 , G10L15/26
CPC分类号： G06Q30/02 , G10L15/26 , G10L15/265 , G10L25/63
摘要： Disclosed are a personalized advertisement device based on speech recognition SMS services and a personalized advertisement exposure method based on speech recognition SMS services. The present invention provides a personalized advertisement device based on speech recognition SMS services and a personalized advertisement exposure method based on speech recognition SMS services capable of maximizing an effect of advertisement by grasping user's intention, an emotion state, and positional information from speech data uttered by a user during a process of providing speech recognition SMS services, configuring advertisements based thereon, and exposing the configured advertisements to a user.
摘要翻译：公开了基于语音识别SMS服务的个性化广告设备和基于语音识别SMS服务的个性化广告曝光方法。本发明提供了一种基于语音识别SMS服务的个性化广告设备和基于语音识别SMS服务的个性化广告曝光方法，该服务能够通过从用户的意图，感情状态和来自语音数据发出的语音数据中获取最大化广告效果在提供语音识别SMS服务的过程期间的用户，基于其配置广告，以及将配置的广告暴露给用户。

9. 发明申请

US20120150539A1 METHOD FOR ESTIMATING LANGUAGE MODEL WEIGHT AND SYSTEM FOR THE SAME 失效
标题翻译：用于估算语言模型重量和系统的方法
公开(公告)号：US20120150539A1
公开(公告)日：2012-06-14
申请号：US13324414
申请日：2011-12-13
申请人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
发明人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/187
摘要： Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.
摘要翻译：本发明的方法可以包括接收从语音信号转换的语音特征向量，通过对接收的语音特征向量应用第一语言模型来执行第一搜索，并且将字格的字格和第一声分数输出为连续语音识别结果，输出第二声学分数作为音素识别结果，通过对语音特征向量应用声学模型，将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较，当第一个coustic分数输出第一语言模型权重时，连续语音识别结果比音素识别结果的第二声分数更好，并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。

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