Abstract: A high-performance method evaluates a useful signal of an audio device, and in particular of an audio apparatus, for example for reducing interference. Accordingly, in the method at least two microphone signals are each obtained from a sound signal and a reference signal is obtained from the microphone signals, a portion of the microphone signals from a predetermined direction being blocked. The microphone signals are filtered by a filter such that an evaluation signal is obtained. To that end, a coherence value is determined from portions of the reference signal and a power density value is determined from the coherence value. The filter is parameterized on the basis of the power density value.

Abstract: A high-performance method evaluates a useful signal of an audio device, and in particular of an audio apparatus, for example for reducing interference. Accordingly, in the method at least two microphone signals are each obtained from a sound signal and a reference signal is obtained from the microphone signals, a portion of the microphone signals from a predetermined direction being blocked. The microphone signals are filtered by a filter such that an evaluation signal is obtained. To that end, a coherence value is determined from portions of the reference signal and a power density value is determined from the coherence value. The filter is parameterized on the basis of the power density value.

Abstract: 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.

Abstract: 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 - ? ( x 1 , n + x 2 , n ) ? ( x 1 , n + x 2 , n ) ? ( x 1 + x 2 ) ? ( x 1 + x 2 ) , where HW is the Wiener filter, ?(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 ?(x1+x2)(x1+x2) is the auto power spectral density of the sum of the left and right microphone signals.

Abstract: 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.

Abstract: 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 - ? ( x 1 , n + x 2 , n ) ? ( x 1 , n + x 2 , n ) ? ( x 1 + x 2 ) ? ( x 1 + x 2 ) , where HW is the Wiener filter, ?(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 ?(x1+x2)(x1+x2) is the auto power spectral density of the sum of the left and right microphone signals.