公开(公告)号：US20110307249A1

公开(公告)日：2011-12-15

申请号：US13154738

申请日：2011-06-07

申请人： WALTER KELLERMANN ,  KLAUS REINDL ,  YUANHANG ZHENG

发明人： WALTER KELLERMANN ,  KLAUS REINDL ,  YUANHANG ZHENG

IPC分类号： G10L21/02 ,  H04R5/00

CPC分类号： G10L21/0208 ,  G10L2021/02165 ,  G10L2021/02168 ,  G10L2021/065 ,  H04R3/005 ,  H04R25/407 ,  H04R25/552 ,  H04R2225/43 ,  H04R2430/03 ,  H04R2430/25

摘要： A method determines a bias reduced noise and interference estimation in a binaural microphone configuration with a right and a left microphone signal at a time-frame with a target speaker active. The method includes a determination of the auto power spectral density estimate of the common noise formed of noise and interference components of the right and left microphone signals and a modification of the auto power spectral density estimate of the common noise by using an estimate of the magnitude squared coherence of the noise and interference components contained in the right and left microphone signals determined at a time frame without a target speaker active. An acoustic signal processing system and a hearing aid implement the method for determining the bias reduced noise and interference estimation. The noise reduction performance of speech enhancement algorithms is improved by the invention. Further, distortions of the target speech signal and residual noise and interference components are reduced.

摘要翻译： 一种方法确定双耳麦克风配置中的偏压降低的噪声和干扰估计，其中在与目标扬声器有效的时间帧上具有右麦克风信号和左麦克风信号。 该方法包括确定由右和左麦克风信号的噪声和干扰分量形成的公共噪声的自动功率谱密度估计，以及通过使用幅度的估计修改公共噪声的自动功率谱密度估计 在没有目标扬声器有效的时间帧确定的左和右麦克风信号中包含的噪声和干扰分量的平方相干性。 声信号处理系统和助听器实现用于确定偏差降低的噪声和干扰估计的方法。 本发明改进了语音增强算法的降噪性能。 此外，减少了目标语音信号的失真和残余噪声和干扰分量。

公开(公告)号：US08290189B2

公开(公告)日：2012-10-16

申请号：US12691015

申请日：2010-01-21

申请人： Walter Kellermann ,  Yuanhang Zheng

发明人： Walter Kellermann ,  Yuanhang Zheng

IPC分类号： H04B15/00 ,  H04R25/00 ,  H04R1/02

CPC分类号： H04R25/552 ,  G10L21/0272 ,  H04R25/407 ,  H04R2225/41

摘要： A method and an acoustic signal processing system for noise reduction of a binaural microphone signal (x1, x2) with one target point source and M interfering point sources (n1, n2, . . . , nM) as input sources to a left and a right microphone of a binaural microphone system, include: filtering a left and a right microphone signal by a Wiener filter to obtain binaural output signals of a target point source, where the Wiener filter is calculated as: H W = 1 - Φ ( x 1 , n + x 2 , n ) ⁢ ( x 1 , n + x 2 , n ) Φ ( x 1 + x 2 ) ⁢ ( x 1 + x 2 ) , where HW is the Wiener filter, Φ(x1,n+x2,n)(x1,n+x2,n) is the auto power spectral density of the sum of all of the M interfering point sources components (x1,n, x2,n) contained in the left and right microphone signals and Φ(x1+x2)(x1+x2) is the auto power spectral density of the sum of the left and right microphone signals. Due to the linear-phase property of the calculated Wiener filter, original binaural cues are perfectly preserved not only for the target source but also for the residual interfering sources.

摘要翻译： 一种用于将一个目标点源和M个干扰点源（n1，n2，...，nM）的双耳麦克风信号（x1，x2）降噪的方法和声信号处理系统作为左侧和第 双耳麦克风系统的右麦克风包括：通过维纳滤波器对左和右麦克风信号进行滤波，以获得目标点源的双耳输出信号，其中维纳滤波器被计算为：HW = 1-Φ（x 1， n + x 2，n）（x 1，n + x 2，n）Φ（x 1 + x 2）（x 1 + x 2）其中，HW是维纳滤波器，Φ（x1，n + x2 ，n）（x1，n + x2，n）是包含在左和右麦克风信号中的所有M个干扰点源分量（x1，n，x2，n）之和的总和的自动功率谱密度，Φ x1 + x2）（x1 + x2）是左右麦克风信号之和的自动功率谱密度。 由于计算的维纳滤波器的线性相位特性，原始双耳线索不仅完全保存在目标源上，而且对于残留干扰源也是完全保留的。

公开(公告)号：US20100183178A1

公开(公告)日：2010-07-22

申请号：US12691015

申请日：2010-01-21

申请人： Walter Kellermann ,  Yuanhang Zheng

发明人： Walter Kellermann ,  Yuanhang Zheng

IPC分类号： H04B15/00 ,  H04R25/00

CPC分类号： H04R25/552 ,  G10L21/0272 ,  H04R25/407 ,  H04R2225/41

摘要： A method and an acoustic signal processing system for noise reduction of a binaural microphone signal (x1, x2) with one target point source and M interfering point sources (n1, n2, . . . , nM) as input sources to a left and a right microphone of a binaural microphone system, include: filtering a left and a right microphone signal by a Wiener filter to obtain binaural output signals of a target point source, where the Wiener filter is calculated as: H W = 1 - Φ ( x 1 , n + x 2 , n )  ( x 1 , n + x 2 , n ) Φ ( x 1 + x 2 )  ( x 1 + x 2 ) , where HW is the Wiener filter, Φ(x1,n+x2,n)(x1,n+x2,n) is the auto power spectral density of the sum of all of the M interfering point sources components (x1,n, x2,n) contained in the left and right microphone signals and Φ(x1+x2)(x1+x2) is the auto power spectral density of the sum of the left and right microphone signals. Due to the linear-phase property of the calculated Wiener filter, original binaural cues are perfectly preserved not only for the target source but also for the residual interfering sources.

摘要翻译： 一种用于将一个目标点源和M个干扰点源（n1，n2，...，nM）的双耳麦克风信号（x1，x2）降噪的方法和声信号处理系统作为左侧和 双耳麦克风系统的右麦克风包括：通过维纳滤波器对左和右麦克风信号进行滤波，以获得目标点源的双耳输出信号，其中维纳滤波器被计算为：HW = 1-Φ（x 1， （x 1 + x 2）（x 1 + x 2），其中HW是维纳滤波器，Φ（x1，n + x2） ，n）（x1，n + x2，n）是包含在左和右麦克风信号中的所有M个干扰点源分量（x1，n，x2，n）之和的总和的自动功率谱密度，Φ x1 + x2）（x1 + x2）是左右麦克风信号之和的自动功率谱密度。 由于计算的维纳滤波器的线性相位特性，原始双耳线索不仅完全保存在目标源上，而且对于残留干扰源也是非常好的。

公开(公告)号：US08909523B2

公开(公告)日：2014-12-09

申请号：US13154738

申请日：2011-06-07

申请人： Walter Kellermann ,  Klaus Reindl ,  Yuanhang Zheng

发明人： Walter Kellermann ,  Klaus Reindl ,  Yuanhang Zheng

IPC分类号： G10L15/20 ,  G10L21/06 ,  H04R25/00 ,  G10L21/0208 ,  G10L21/0216 ,  H04R3/00

CPC分类号： G10L21/0208 ,  G10L2021/02165 ,  G10L2021/02168 ,  G10L2021/065 ,  H04R3/005 ,  H04R25/407 ,  H04R25/552 ,  H04R2225/43 ,  H04R2430/03 ,  H04R2430/25

摘要： A method determines a bias reduced noise and interference estimation in a binaural microphone configuration with a right and a left microphone signal at a time-frame with a target speaker active. The method includes a determination of the auto power spectral density estimate of the common noise formed of noise and interference components of the right and left microphone signals and a modification of the auto power spectral density estimate of the common noise by using an estimate of the magnitude squared coherence of the noise and interference components contained in the right and left microphone signals determined at a time frame without a target speaker active. An acoustic signal processing system and a hearing aid implement the method for determining the bias reduced noise and interference estimation. The noise reduction performance of speech enhancement algorithms is improved by the invention. Further, distortions of the target speech signal and residual noise and interference components are reduced.

摘要翻译： 一种方法确定双耳麦克风配置中的偏压降低的噪声和干扰估计，其中在与目标扬声器有效的时间帧上具有右麦克风信号和左麦克风信号。 该方法包括确定由右和左麦克风信号的噪声和干扰分量形成的公共噪声的自动功率谱密度估计，以及通过使用幅度的估计修改公共噪声的自动功率谱密度估计 在没有目标扬声器有效的时间帧确定的左和右麦克风信号中包含的噪声和干扰分量的平方相干性。 声信号处理系统和助听器实现用于确定偏差降低的噪声和干扰估计的方法。 本发明改进了语音增强算法的降噪性能。 此外，减少了目标语音信号的失真和残余噪声和干扰分量。