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1. 发明申请

WO2005029467A1 A METHOD FOR RECOVERING TARGET SPEECH BASED ON AMPLITUDE DISTRIBUTIONS OF SEPARATED SIGNALS 审中-公开
标题翻译：基于分离信号幅度分布的目标语音恢复方法
公开(公告)号：WO2005029467A1
公开(公告)日：2005-03-31
申请号：PCT/JP2004/012898
申请日：2004-08-31
申请人： KITAKYUSHU FOUNDATION FOR THE ADVANCEMENT OF INDUSTRY, SCIENCE AND TECHNOLOGY , KINKI UNIVERSITY , GOTANDA, Hiromu , KANEDA, Keiichi , KOYA, Takeshi
发明人： GOTANDA, Hiromu , KANEDA, Keiichi , KOYA, Takeshi
IPC分类号： G10L21/02
CPC分类号： G10L21/0272 , G10L25/27
摘要： The present invention provides a method for recovering target speech based on shapes of amplitude distributions of split spectra obtained by use of blind signal separation. This method includes: a first step of receiving target speech emitted from a sound source and a noise emitted from another sound source and forming mixed signals of the target speech and the noise at a first microphone and at a second microphone; a second step of performing the Fourier transform of the mixed signals from the time domain to the frequency domain, decomposing the mixed signals into two separated signals U 1 and U 2 by use of the Independent Component Analysis, and, based on transmission path characteristics of the four different paths from the two sound sources to the first and second microphones, generating the split spectra v 11 , V 12 , v 21 and v 22 from the separated signals U 1 and U 2 ; and a third step of extracting estimated spectra Z* corresponding to the target speech to generate a recovered spectrum group of the target speech, wherein the split spectra v 11 , v 12 , V 21 , and v 22 are analyzed by applying criteria based on the shape of the amplitude distribution of each of the split spectra v 11 , V 12 , v 21 , and v 22 , and performing the inverse Fourier transform of the recovered spectrum group from the frequency domain to the time domain to recover the target speech.
摘要翻译：本发明提供一种基于通过使用盲信号分离获得的分离频谱的振幅分布的形状来恢复目标语音的方法。该方法包括：接收从声源发出的目标语音和从另一声源发出的噪声的第一步骤，并在第一麦克风和第二麦克风处形成目标语音和噪声的混合信号; 执行从时域到频域的混合信号的傅里叶变换的第二步骤，通过使用独立分量分析将混合信号分解成两个分离的信号U1和U2，并且基于四个信号的传输路径特性从两个声源到第一和第二麦克风的不同路径，从分离的信号U1和U2产生分离频谱v11，V12，v21和

2. 发明申请

WO2005029463A9 A METHOD FOR RECOVERING TARGET SPEECH BASED ON SPEECH SEGMENT DETECTION UNDER A STATIONARY NOISE 审中-公开
标题翻译：一种基于静态噪声下语音段检测的目标语音恢复方法
公开(公告)号：WO2005029463A9
公开(公告)日：2005-07-07
申请号：PCT/JP2004012899
申请日：2004-08-31
申请人： KITAKYUSHU FOUNDATION , UNIV KINKI , GOTANDA HIROMU , KANEDA KEIICHI , KOYA TAKESHI
发明人： GOTANDA HIROMU , KANEDA KEIICHI , KOYA TAKESHI
IPC分类号： G10L15/20 , G10L11/02 , G10L15/04 , G10L21/02 , G10L19/02
CPC分类号： G10L21/0208 , G10L25/78
摘要： Method for recovering target speech by extracting signal components falling in a speech segment, which is determined based on separated signals obtained through the Independent Component Analysis, thereby minimizing the residual noise in the recovered target speech. The present method comprises: the first step of receiving target speech emitted from a sound source and a noise emitted from another sound source and extracting estimated spectra Y* corresponding to the target speech by use of the Independent Component Analysis; the second step of separating from the estimated spectra Y* an estimated spectrum series group y* in which the noise is removed by applying separation judgment criteria based on the kurtosis of the amplitude distribution of each of estimated spectrum series in Y*; the third step of detecting a speech segment and a noise segment of the total sum F of all the estimated spectrum series in y* by applying detection judgment criteria based on a predetermined threshold value T that is determined by the maximum value of F; and the fourth step of extracting components falling in the speech segment from the estimated spectra Y* to generate a recovered spectrum group of the target speech for recovering the target speech.
摘要翻译：用于通过提取落入语音片段中的信号分量来恢复目标语音的方法，该语音片段是基于通过独立分量分析获得的分离信号确定的，由此最小化恢复的目标语音中的残余噪声。本方法包括：第一步骤，接收从声源发射的目标语音和从另一声源发射的噪声，并通过使用独立分量分析提取与目标语音相对应的估计谱Y * 第二步骤，从估计频谱Y *中分离估计频谱序列组y *，其中通过基于Y *中的每个估计频谱序列的振幅分布的峰度应用分离判断标准来去除噪声; 通过基于由F的最大值确定的预定阈值T应用检测判断标准来检测y *中的所有估计谱系列的总和F的语音片段和噪声片段的第三步骤; 以及第四步骤，从估计光谱Y *中提取落在语音片段中的分量，以生成用于恢复目标语音的目标语音的恢复光谱组。

3. 发明申请

WO2005029463A1 A METHOD FOR RECOVERING TARGET SPEECH BASED ON SPEECH SEGMENT DETECTION UNDER A STATIONARY NOISE 审中-公开
标题翻译：基于静音噪声下的语音分段检测的方法来恢复目标语音
公开(公告)号：WO2005029463A1
公开(公告)日：2005-03-31
申请号：PCT/JP2004/012899
申请日：2004-08-31
申请人： KITAKYUSHU FOUNDATION FOR THE ADVANCEMENT OF INDUSTRY, SCIENCE AND TECHNOLOGY , KINKI UNIVERSITY , GOTANDA, Hiromu , KANEDA, Keiichi , KOYA, Takeshi
发明人： GOTANDA, Hiromu , KANEDA, Keiichi , KOYA, Takeshi
IPC分类号： G10L11/02
CPC分类号： G10L21/0208 , G10L25/78
摘要： Method for recovering target speech by extracting signal components falling in a speech segment, which is determined based on separated signals obtained through the Independent Component Analysis, thereby minimizing the residual noise in the recovered target speech. The present method comprises: the first step of receiving target speech emitted from a sound source and a noise emitted from another sound source and extracting estimated spectra Y* corresponding to the target speech by use of the Independent Component Analysis; the second step of separating from the estimated spectra Y* an estimated spectrum series group y* in which the noise is removed by applying separation judgment criteria based on the kurtosis of the amplitude distribution of each of estimated spectrum series in Y*; the third step of detecting a speech segment and a noise segment of the total sum F of all the estimated spectrum series in y* by applying detection judgment criteria based on a predetermined threshold value T that is determined by the maximum value of F; and the fourth step of extracting components falling in the speech segment from the estimated spectra Y* to generate a recovered spectrum group of the target speech for recovering the target speech.
摘要翻译：通过提取基于通过独立分量分析获得的分离信号确定的落在语音段中的信号分量来恢复目标语音的方法，从而使恢复的目标语音中的残余噪声最小化。本方法包括：接收从声源发出的目标语音和从另一声源发出的噪声的第一步骤，并通过使用独立分量分析提取对应于目标语音的估计频谱Y *; 通过基于Y *中的每个估计频谱序列的振幅分布的峰度应用分离判断标准，从估计频谱Y *中除去噪声被去除的估计频谱系Y *的第二步骤; 基于由最大值F确定的预定阈值T，通过应用检测判断基准来检测y *中所有估计频谱序列的总和F的语音段和噪声段的第三步骤; 以及从估计的光谱Y *中提取掉在语音段中的分量的第四步骤，以产生用于恢复目标语音的目标语音的恢复的频谱组。

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