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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。

3. 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。

4. 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。

5. 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。

6. 发明申请

US20100158271A1 METHOD FOR SEPARATING SOURCE SIGNALS AND APPARATUS THEREOF 有权
标题翻译：分离信号信号的方法及其设备
公开(公告)号：US20100158271A1
公开(公告)日：2010-06-24
申请号：US12488215
申请日：2009-06-19
申请人： Ki-young Park , Ho-Young Jung , Yun Keun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Sung Joo Lee , Byung Ok Kang , Ji Hyun Wang , Eui Sok Chung , Hyung-Bae Jeon , Jong Jin Kim
发明人： Ki-young Park , Ho-Young Jung , Yun Keun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Sung Joo Lee , Byung Ok Kang , Ji Hyun Wang , Eui Sok Chung , Hyung-Bae Jeon , Jong Jin Kim
IPC分类号： H04B15/00
CPC分类号： H04R3/005 , H04R27/00 , H04R2430/03
摘要： A method for separating a sound source from a mixed signal, includes Transforming a mixed signal to channel signals in frequency domain; and grouping several frequency bands for each channel signal to form frequency clusters. Further, the method for separating the sound source from the mixed signal includes separating the frequency clusters by applying a blind source separation to signals in frequency domain for each frequency cluster; and integrating the spectrums of the separated signal to restore the sound source in a time domain wherein each of the separated signals expresses one sound source.
摘要翻译：一种用于从混合信号中分离声源的方法，包括：将混合信号转换成频域中的信道信号; 并且为每个信道信号分组几个频带以形成频率簇。此外，用于从混合信号中分离声源的方法包括通过对每个频率簇的频域中的信号应用盲源分离来分离频率簇; 并且对分离信号的频谱进行积分，以在时域中恢复声源，其中每个分离的信号表示一个声源。

7. 发明授权

US08364483B2 Method for separating source signals and apparatus thereof 有权
标题翻译：分离源信号的方法及其装置
公开(公告)号：US08364483B2
公开(公告)日：2013-01-29
申请号：US12488215
申请日：2009-06-19
申请人： Ki-young Park , Ho-Young Jung , Yun Keun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Sung Joo Lee , Byung Ok Kang , Ji Hyun Wang , Eui Sok Chung , Hyung-Bae Jeon , Jong Jin Kim
发明人： Ki-young Park , Ho-Young Jung , Yun Keun Lee , Jeon Gue Park , Jeom Ja Kang , Hoon Chung , Sung Joo Lee , Byung Ok Kang , Ji Hyun Wang , Eui Sok Chung , Hyung-Bae Jeon , Jong Jin Kim
IPC分类号： G10L15/06 , G10L15/00 , G10L15/20 , H04B15/00
CPC分类号： H04R3/005 , H04R27/00 , H04R2430/03
摘要： A method for separating a sound source from a mixed signal, includes Transforming a mixed signal to channel signals in frequency domain; and grouping several frequency bands for each channel signal to form frequency clusters. Further, the method for separating the sound source from the mixed signal includes separating the frequency clusters by applying a blind source separation to signals in frequency domain for each frequency cluster; and integrating the spectrums of the separated signal to restore the sound source in a time domain wherein each of the separated signals expresses one sound source.
摘要翻译：一种用于从混合信号中分离声源的方法，包括：将混合信号转换成频域中的信道信号; 并且为每个信道信号分组几个频带以形成频率簇。此外，用于从混合信号中分离声源的方法包括通过对每个频率簇的频域中的信号应用盲源分离来分离频率簇; 并且对分离信号的频谱进行积分，以在时域中恢复声源，其中每个分离的信号表示一个声源。

8. 发明申请

US20060178881A1 Method and apparatus for detecting voice region 失效
标题翻译：用于检测语音区域的方法和装置
公开(公告)号：US20060178881A1
公开(公告)日：2006-08-10
申请号：US11340693
申请日：2006-01-27
申请人： Kwang-cheol Oh , Ki-young Park
发明人： Kwang-cheol Oh , Ki-young Park
IPC分类号： G10L15/20
CPC分类号： G10L25/78
摘要： A method and apparatus for distinguishing a voice region from a non-voice region in an environment where various types of noise and voice are mixed together are provided. The method includes the steps of converting an input voice signal into a frequency domain signal by preprocessing the input voice signal, performing sigmoid compression on the converted signal, transforming a spectrum vector generated by the sigmoid compression into a voice detection parameter in scalar form, and detecting the voice region using the parameter.
摘要翻译：提供一种用于在将各种噪声和声音混合在一起的环境中区分语音区域与非语音区域的方法和装置。该方法包括以下步骤：通过对输入的语音信号进行预处理，将输入的语音信号转换为频域信号，对转换后的信号进行S形压缩，将由S形生成的频谱矢量变换为标量形式的语音检测参数，使用参数检测语音区域。

9. 发明授权

US07966179B2 Method and apparatus for detecting voice region 失效
标题翻译：用于检测语音区域的方法和装置
公开(公告)号：US07966179B2
公开(公告)日：2011-06-21
申请号：US11340693
申请日：2006-01-27
申请人： Kwang-cheol Oh , Ki-young Park
发明人： Kwang-cheol Oh , Ki-young Park
IPC分类号： G10L15/20
CPC分类号： G10L25/78
摘要： A method and apparatus for distinguishing a voice region from a non-voice region in an environment where various types of noise and voice are mixed together are provided. The method includes the steps of converting an input voice signal into a frequency domain signal by preprocessing the input voice signal, performing sigmoid compression on the converted signal, transforming a spectrum vector generated by the sigmoid compression into a voice detection parameter in scalar form, and detecting the voice region using the parameter.
摘要翻译：提供一种用于在将各种噪声和声音混合在一起的环境中区分语音区域与非语音区域的方法和装置。该方法包括以下步骤：通过对输入的语音信号进行预处理，将输入的语音信号转换为频域信号，对转换后的信号进行S形压缩，将由S形生成的频谱矢量变换为标量形式的语音检测参数，使用参数检测语音区域。

10. 发明申请

US20060155537A1 Method and apparatus for discriminating between voice and non-voice using sound model 有权
标题翻译：使用声音模型区分语音和非声音的方法和装置
公开(公告)号：US20060155537A1
公开(公告)日：2006-07-13
申请号：US11330343
申请日：2006-01-12
申请人： Ki-young Park , Chang-kyu Choi
发明人： Ki-young Park , Chang-kyu Choi
IPC分类号： G10L15/06
CPC分类号： G10L25/78
摘要： A method and an apparatus are provided for discriminating between a voice region and a non-voice region in an environment in which diverse types of noises and voices exist. The voice discrimination apparatus includes a domain transform unit for transforming an input sound signal frame into a frame in the frequency domain, a model training/update unit for setting a voice model and a plurality of noise models in the frequency domain and initializing or updating the models, a speech absence probability (SAP) computation unit for obtaining a SAP computation equation for each noise source by using the initialized or updated voice model and noise models and substituting the transformed frame into the equation to compute an SAP for each noise source, a noise source selection unit for selecting the noise source by comparing the SAPs computed for the respective noise sources, and a voice judgment unit for judging whether the input frame corresponds to the voice region in accordance with the SAP level of the selected noise source.
摘要翻译：提供了一种在存在各种噪声和声音的环境中区分语音区域和非语音区域的方法和装置。语音识别装置包括：域变换单元，用于将输入声音信号帧变换为频域中的帧;模型训练/更新单元，用于设置频域中的语音模型和多个噪声模型，并初始化或更新模型，语音缺失概率（SAP）计算单元，用于通过使用初始化或更新的语音模型和噪声模型来获得每个噪声源的SAP计算方程，并将变换的帧代入方程式以计算每个噪声源的SAP，噪声源选择单元，用于通过比较针对各个噪声源计算的SAP来选择噪声源;以及语音判断单元，用于根据所选择的噪声源的SAP级别判断输入帧是否对应于语音区域。

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