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1. 发明授权

US08332222B2 Viterbi decoder and speech recognition method using same using non-linear filter for observation probabilities 有权
标题翻译：维特比解码器和语音识别方法使用非线性滤波器进行观察概率
公开(公告)号：US08332222B2
公开(公告)日：2012-12-11
申请号：US12506719
申请日：2009-07-21
申请人： Hoon Chung , Jeon Gue Park , Yunkeun Lee , Ho-Young Jung , Hyung-Bae Jeon , Jeom Ja Kang , Sung Joo Lee , Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Ki-young Park , Jong Jin Kim
发明人： Hoon Chung , Jeon Gue Park , Yunkeun Lee , Ho-Young Jung , Hyung-Bae Jeon , Jeom Ja Kang , Sung Joo Lee , Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Ki-young Park , Jong Jin Kim
IPC分类号： G10L15/00
CPC分类号： G10L15/08 , G10L15/142
摘要： A Viterbi decoder includes: an observation vector sequence generator for generating an observation vector sequence by converting an input speech to a sequence of observation vectors; a local optimal state calculator for obtaining a partial state sequence having a maximum similarity up to a current observation vector as an optimal state; an observation probability calculator for obtaining, as a current observation probability, a probability for observing the current observation vector in the optimal state; a buffer for storing therein a specific number of previous observation probabilities; a non-linear filter for calculating a filtered probability by using the previous observation probabilities stored in the buffer and the current observation probability; and a maximum likelihood calculator for calculating a partial maximum likelihood by using the filtered probability. The filtered probability may be a maximum value, a mean value or a median value of the previous observation probabilities and the current observation probability.
摘要翻译：维特比解码器包括：观测向量序列生成器，用于通过将输入语音转换为观察向量序列来生成观察向量序列; 局部最优状态计算器，用于获得具有与当前观察向量最大相似度的部分状态序列作为最佳状态; 观测概率计算器，用于获得在最佳状态下观察当前观测矢量的概率作为当前观测概率; 用于在其中存储特定数量的先前观察概率的缓冲器; 用于通过使用存储在缓冲器中的先前观察概率和当前观察概率来计算滤波概率的非线性滤波器; 以及最大似然计算器，用于通过使用滤波的概率来计算部分最大似然。滤波概率可以是先前观测概率和当前观测概率的最大值，平均值或中值。

2. 发明授权

US08504362B2 Noise reduction for speech recognition in a moving vehicle 有权
标题翻译：移动车辆中的语音识别降噪
公开(公告)号：US08504362B2
公开(公告)日：2013-08-06
申请号：US12506705
申请日：2009-07-21
申请人： Sung Joo Lee , Ho-Young Jung , Jeon Gue Park , Hoon Chung , Yunkeun Lee , Byung Ok Kang , Hyung-Bae Jeon , Jong Jin Kim , Ki-young Park , Euisok Chung , Ji Hyun Wang , Jeom Ja Kang
发明人： Sung Joo Lee , Ho-Young Jung , Jeon Gue Park , Hoon Chung , Yunkeun Lee , Byung Ok Kang , Hyung-Bae Jeon , Jong Jin Kim , Ki-young Park , Euisok Chung , Ji Hyun Wang , Jeom Ja Kang
IPC分类号： G10L15/20 , G10L15/00 , G10L19/00 , G10L19/02 , G10L15/14
CPC分类号： G10L21/0208 , G10L15/20 , G10L25/48
摘要： A speech recognition system includes: a speed level classifier for measuring a moving speed of a moving object by using a noise signal at an initial time of speech recognition to determine a speed level of the moving object; a first speech enhancement unit for enhancing sound quality of an input speech signal of the speech recognition by using a Wiener filter, if the speed level of the moving object is equal to or lower than a specific level; and a second speech enhancement unit enhancing the sound quality of the input speech signal by using a Gaussian mixture model, if the speed level of the moving object is higher than the specific level. The system further includes an end point detection unit for detecting start and end points, an elimination unit for eliminating sudden noise components based on a sudden noise Gaussian mixture model.
摘要翻译：语音识别系统包括：速度级分类器，用于通过在语音识别的初始时间使用噪声信号来测量移动物体的移动速度，以确定移动物体的速度水平; 第一语音增强单元，如果移动对象的速度水平等于或低于特定水平，则通过使用维纳滤波器来增强语音识别的输入语音信号的声音质量; 以及第二语音增强单元，如果移动对象的速度水平高于特定水平，则通过使用高斯混合模型来增强输入语音信号的声音质量。该系统还包括用于检测起点和终点的终点检测单元，用于基于突发噪声高斯混合模型消除突发噪声分量的消除单元。

3. 发明申请

US20130013297A1 MESSAGE SERVICE METHOD USING SPEECH RECOGNITION 审中-公开
标题翻译：使用语音识别的消息服务方法
公开(公告)号：US20130013297A1
公开(公告)日：2013-01-10
申请号：US13542118
申请日：2012-07-05
申请人： Hwa Jeon SONG , YunKeun Lee , Jeon Gue Park , Jong Jin Kim , Ki-Young Park , Hoon Chung , Hyung-Bae Jeon , Ho Young Jung , Euisok Chung , Jeom Ja Kang , Byung Ok Kang , Sang Kyu Park , Sung Joo Lee , Yoo Rhee Oh
发明人： Hwa Jeon SONG , YunKeun Lee , Jeon Gue Park , Jong Jin Kim , Ki-Young Park , Hoon Chung , Hyung-Bae Jeon , Ho Young Jung , Euisok Chung , Jeom Ja Kang , Byung Ok Kang , Sang Kyu Park , Sung Joo Lee , Yoo Rhee Oh
IPC分类号： G10L15/00
CPC分类号： H04M1/72552 , G10L15/083 , G10L15/30 , H04M2250/74 , H04W4/12
摘要： A message service method using speech recognition includes a message server recognizing a speech transmitted from a transmission terminal, generating and transmitting a recognition result of the speech and N-best results based on a confusion network to the transmission terminal; if a message is selected through the recognition result and the N-best results and an evaluation result according to accuracy of the message are decided, the transmission terminal transmitting the message and the evaluation result to a reception terminal; and the reception terminal displaying the message and the evaluation result.
摘要翻译：使用语音识别的消息服务方法包括识别从发送终端发送的语音的消息服务器，基于混淆网络生成并发送语音的识别结果和N个最佳结果到发送终端; 如果通过识别结果选择了消息，并且确定了根据消息精度的N最佳结果和评估结果，则发送终端将消息和评估结果发送到接收终端; 接收终端显示消息和评估结果。

4. 发明授权

US08296135B2 Noise cancellation system and method 有权
标题翻译：噪声消除系统和方法
公开(公告)号：US08296135B2
公开(公告)日：2012-10-23
申请号：US12270218
申请日：2008-11-13
申请人： Byung Ok Kang , Ho-Young Jung , Sung Joo Lee , Yunkeun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Euisok Chung , Ji Hyun Wang , Hyung-Bae Jeon
发明人： Byung Ok Kang , Ho-Young Jung , Sung Joo Lee , Yunkeun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Euisok Chung , Ji Hyun Wang , Hyung-Bae Jeon
IPC分类号： G10L21/02
CPC分类号： G10L15/20 , G10L21/0208
摘要： A noise cancellation apparatus includes a noise estimation module for receiving a noise-containing input speech, and estimating a noise therefrom to output the estimated noise; a first Wiener filter module for receiving the input speech, and applying a first Wiener filter thereto to output a first estimation of clean speech; a database for storing data of a Gaussian mixture model for modeling clean speech; and an MMSE estimation module for receiving the first estimation of clean speech and the data of the Gaussian mixture model to output a second estimation of clean speech. The apparatus further includes a final clean speech estimation module for receiving the second estimation of clean speech from the MMSE estimation module and the estimated noise from the noise estimation module, and obtaining a final Wiener filter gain therefrom to output a final estimation of clean speech by applying the final Wiener filter gain.
摘要翻译：噪声消除装置包括：噪声估计模块，用于接收含噪声的输入语音，并估计噪声以输出所估计的噪声; 用于接收所述输入语音的第一维纳滤波器模块，以及对其施加第一维纳滤波器以输出清洁语音的第一估计; 用于存储用于建模清洁语音的高斯混合模型的数据的数据库; 以及MMSE估计模块，用于接收清洁语音的第一估计和高斯混合模型的数据，以输出干净语音的第二估计。该装置还包括最后的清洁语音估计模块，用于从MMSE估计模块接收清洁语音的第二估计和来自噪声估计模块的估计噪声，并从中获得最终的维纳滤波器增益，以便通过以下方式输出清洁语音的最终估计：应用最后的维纳滤波器增益。

5. 发明申请

US20100161334A1 UTTERANCE VERIFICATION METHOD AND APPARATUS FOR ISOLATED WORD N-BEST RECOGNITION RESULT 有权
标题翻译：绝对验证方法和设备用于隔离词N-BEST识别结果
公开(公告)号：US20100161334A1
公开(公告)日：2010-06-24
申请号：US12535024
申请日：2009-08-04
申请人： Jeom Ja Kang , Yunkeun Lee , Jeon Gue Park , Ho-Young Jung , Hyung-Bae Jeon , Hoon Chung , Sung Joo Lee , Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Ki-young Park , Jong Jin Kim
发明人： Jeom Ja Kang , Yunkeun Lee , Jeon Gue Park , Ho-Young Jung , Hyung-Bae Jeon , Hoon Chung , Sung Joo Lee , Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Ki-young Park , Jong Jin Kim
IPC分类号： G10L15/04
CPC分类号： G10L15/187 , G10L15/10
摘要： An utterance verification method for an isolated word N-best speech recognition result includes: calculating log likelihoods of a context-dependent phoneme and an anti-phoneme model based on an N-best speech recognition result for an input utterance; measuring a confidence score of an N-best speech-recognized word using the log likelihoods; calculating distance between phonemes for the N-best speech-recognized word; comparing the confidence score with a threshold and the distance with a predetermined mean of distances; and accepting the N-best speech-recognized word when the compared results for the confidence score and the distance correspond to acceptance.
摘要翻译：用于隔离字N语音识别结果的话语验证方法包括：基于输入语音的N最佳语音识别结果计算上下文相关音素和反音素模型的对数似然性; 使用对数似然度来测量N个最佳语音识别词的置信度分数; 计算N最佳语音识别词的音素之间的距离; 将置信度分数与阈值和具有预定平均距离的距离进行比较; 并且当信心得分和距离的比较结果对应于接受时，接受N最佳语音识别词。

6. 发明授权

US08374869B2 Utterance verification method and apparatus for isolated word N-best recognition result 有权
标题翻译：用于孤立词N最佳识别结果的语音验证方法和装置
公开(公告)号：US08374869B2
公开(公告)日：2013-02-12
申请号：US12535024
申请日：2009-08-04
申请人： Jeom Ja Kang , Yunkeun Lee , Jeon Gue Park , Ho-Young Jung , Hyung-Bae Jeon , Hoon Chung , Sung Joo Lee , Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Ki-young Park , Jong Jin Kim
发明人： Jeom Ja Kang , Yunkeun Lee , Jeon Gue Park , Ho-Young Jung , Hyung-Bae Jeon , Hoon Chung , Sung Joo Lee , Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Ki-young Park , Jong Jin Kim
IPC分类号： G10L15/04 , G10L15/28 , G10L15/14 , G10L15/00 , G10L15/26 , G10L15/06 , G10L17/00
CPC分类号： G10L15/187 , G10L15/10
摘要： An utterance verification method for an isolated word N-best speech recognition result includes: calculating log likelihoods of a context-dependent phoneme and an anti-phoneme model based on an N-best speech recognition result for an input utterance; measuring a confidence score of an N-best speech-recognized word using the log likelihoods; calculating distance between phonemes for the N-best speech-recognized word; comparing the confidence score with a threshold and the distance with a predetermined mean of distances; and accepting the N-best speech-recognized word when the compared results for the confidence score and the distance correspond to acceptance.
摘要翻译：用于隔离字N语音识别结果的话语验证方法包括：基于输入语音的N最佳语音识别结果计算上下文相关音素和反音素模型的对数似然性; 使用对数似然度来测量N个最佳语音识别词的置信度分数; 计算N最佳语音识别词的音素之间的距离; 将置信度分数与阈值和具有预定平均距离的距离进行比较; 并且当信心得分和距离的比较结果对应于接受时，接受N最佳语音识别词。

7. 发明申请

US20100161416A1 METHOD OF PROVIDING TARGETED ADVERTISEMENTS 审中-公开
标题翻译：提供目标广告的方法
公开(公告)号：US20100161416A1
公开(公告)日：2010-06-24
申请号：US12491788
申请日：2009-06-25
申请人： Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Jeon Gue Park , Yunkeun Lee , Hyo-Jung Oh , Chang Ki Lee , Chung Hee Lee , Myung Gil Jang
发明人： Euisok Chung , Ji Hyun Wang , Byung Ok Kang , Jeon Gue Park , Yunkeun Lee , Hyo-Jung Oh , Chang Ki Lee , Chung Hee Lee , Myung Gil Jang
IPC分类号： G06Q30/00 , G06F17/30
CPC分类号： G06Q30/02 , G06Q30/0255
摘要： A method of providing targeted advertisements, includes: generating an advertisement search result using a search query based on a user query or a recommended query; generating an advertisement search result on the basis of a user profile; integrating the advertisement search result generated on the basis of the user profile with the advertisement search result generated by using the search query; and presenting a recommended advertisement list on the basis of the integrated advertisement search result and advertisement information exposed to a user.
摘要翻译：提供目标广告的方法包括：使用基于用户查询或推荐查询的搜索查询生成广告搜索结果; 基于用户简档生成广告搜索结果; 将基于用户简档生成的广告搜索结果与通过使用搜索查询生成的广告搜索结果进行整合; 并根据暴露给用户的综合广告搜索结果和广告信息呈现推荐广告列表。

8. 发明申请

US20100161329A1 VITERBI DECODER AND SPEECH RECOGNITION METHOD USING SAME 有权
标题翻译： VITERBI解码器和语音识别方法
公开(公告)号：US20100161329A1
公开(公告)日：2010-06-24
申请号：US12506719
申请日：2009-07-21
申请人： Hoon CHUNG , Jeon Gue PARK , Yunkeun LEE , Ho-Young JUNG , Hyung-Bae JEON , Jeorn Ja KANG , Sung Joo LEE , Euisok CHUNG , Ji Hyun WANG , Byung Ok KANG , Ki-young PARK , Jong Jin KIM
发明人： Hoon CHUNG , Jeon Gue PARK , Yunkeun LEE , Ho-Young JUNG , Hyung-Bae JEON , Jeorn Ja KANG , Sung Joo LEE , Euisok CHUNG , Ji Hyun WANG , Byung Ok KANG , Ki-young PARK , Jong Jin KIM
IPC分类号： G10L15/00
CPC分类号： G10L15/08 , G10L15/142
摘要： A Viterbi decoder includes: an observation vector sequence generator for generating an observation vector sequence by converting an input speech to a sequence of observation vectors; a local optimal state calculator for obtaining a partial state sequence having a maximum similarity up to a current observation vector as an optimal state; an observation probability calculator for obtaining, as a current observation probability, a probability for observing the current observation vector in the optimal state; a buffer for storing therein a specific number of previous observation probabilities; a non-linear filter for calculating a filtered probability by using the previous observation probabilities stored in the buffer and the current observation probability; and a maximum likelihood calculator for calculating a partial maximum likelihood by using the filtered probability. The filtered probability may be a maximum value, a mean value or a median value of the previous observation probabilities and the current observation probability.
摘要翻译：维特比解码器包括：观测向量序列生成器，用于通过将输入语音转换为观察向量序列来生成观察向量序列; 局部最优状态计算器，用于获得具有与当前观察向量最大相似度的部分状态序列作为最佳状态; 观测概率计算器，用于获得在最佳状态下观察当前观测矢量的概率作为当前观测概率; 用于在其中存储特定数量的先前观察概率的缓冲器; 用于通过使用存储在缓冲器中的先前观察概率和当前观察概率来计算滤波概率的非线性滤波器; 以及最大似然计算器，用于通过使用滤波的概率来计算部分最大似然。滤波概率可以是先前观测概率和当前观测概率的最大值，平均值或中值。

9. 发明申请

US20100161326A1 SPEECH RECOGNITION SYSTEM AND METHOD 有权
标题翻译：语音识别系统和方法
公开(公告)号：US20100161326A1
公开(公告)日：2010-06-24
申请号：US12506705
申请日：2009-07-21
申请人： Sung Joo Lee , Ho-Young Jung , Jeon Gue Park , Hoon Chung , Yunkeun Lee , Byung Ok Kang , Hyung-Bae Jeon , Jong Jin Kim , Ki-young Park , Euisok Chung , Ji Hyun Wang , Jeom Ja Kang
发明人： Sung Joo Lee , Ho-Young Jung , Jeon Gue Park , Hoon Chung , Yunkeun Lee , Byung Ok Kang , Hyung-Bae Jeon , Jong Jin Kim , Ki-young Park , Euisok Chung , Ji Hyun Wang , Jeom Ja Kang
IPC分类号： G10L15/20
CPC分类号： G10L21/0208 , G10L15/20 , G10L25/48
摘要： A speech recognition system includes: a speed level classifier for measuring a moving speed of a moving object by using a noise signal at an initial time of speech recognition to determine a speed level of the moving object; a first speech enhancement unit for enhancing sound quality of an input speech signal of the speech recognition by using a Wiener filter, if the speed level of the moving object is equal to or lower than a specific level; and a second speech enhancement unit enhancing the sound quality of the input speech signal by using a Gaussian mixture model, if the speed level of the moving object is higher than the specific level. The system further includes an end point detection unit for detecting start and end points, an elimination unit for eliminating sudden noise components based on a sudden noise Gaussian mixture model.
摘要翻译：语音识别系统包括：速度级分类器，用于通过在语音识别的初始时间使用噪声信号来测量移动物体的移动速度，以确定移动物体的速度水平; 第一语音增强单元，如果移动对象的速度水平等于或低于特定水平，则通过使用维纳滤波器来增强语音识别的输入语音信号的声音质量; 以及第二语音增强单元，如果移动对象的速度水平高于特定水平，则通过使用高斯混合模型来增强输入语音信号的声音质量。该系统还包括用于检测起点和终点的终点检测单元，用于基于突发噪声高斯混合模型消除突发噪声分量的消除单元。

10. 发明申请

US20090265168A1 NOISE CANCELLATION SYSTEM AND METHOD 有权
标题翻译：噪声消除系统和方法
公开(公告)号：US20090265168A1
公开(公告)日：2009-10-22
申请号：US12270218
申请日：2008-11-13
申请人： Byung Ok Kang , Ho-Young Jung , Sung Joo Lee , Yunkeun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Euisok Chung , Ji Hyun Wang , Hyung-Bae Jeon
发明人： Byung Ok Kang , Ho-Young Jung , Sung Joo Lee , Yunkeun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Euisok Chung , Ji Hyun Wang , Hyung-Bae Jeon
IPC分类号： G10L21/02
CPC分类号： G10L15/20 , G10L21/0208
摘要： A noise cancellation apparatus includes a noise estimation module for receiving a noise-containing input speech, and estimating a noise therefrom to output the estimated noise; a first Wiener filter module for receiving the input speech, and applying a first Wiener filter thereto to output a first estimation of clean speech; a database for storing data of a Gaussian mixture model for modeling clean speech; and an MMSE estimation module for receiving the first estimation of clean speech and the data of the Gaussian mixture model to output a second estimation of clean speech. The apparatus further includes a final clean speech estimation module for receiving the second estimation of clean speech from the MMSE estimation module and the estimated noise from the noise estimation module, and obtaining a final Wiener filter gain therefrom to output a final estimation of clean speech by applying the final Wiener filter gain.
摘要翻译：噪声消除装置包括：噪声估计模块，用于接收含噪声的输入语音，并估计噪声以输出所估计的噪声; 用于接收所述输入语音的第一维纳滤波器模块，以及对其施加第一维纳滤波器以输出清洁语音的第一估计; 用于存储用于建模清洁语音的高斯混合模型的数据的数据库; 以及MMSE估计模块，用于接收清洁语音的第一估计和高斯混合模型的数据，以输出干净语音的第二估计。该装置还包括最后的清洁语音估计模块，用于从MMSE估计模块接收清洁语音的第二估计和来自噪声估计模块的估计噪声，并从中获得最终的维纳滤波器增益，以便通过以下方式输出清洁语音的最终估计：应用最后的维纳滤波器增益。

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