Method and acoustic signal processing system for binaural noise reduction

A method for a noise reduction of a binaural microphone system, comprising:

• generating a left microphone signal by inputting a source signal and a first interfering signal to a left microphone of the binaural microphone system;
• generating a right microphone signal by inputting the source signal and a second interfering signal to a right microphone of the binaural microphone system;
• filtering the left and the right microphone signals by a Wiener filter to obtain binaural output signals of the source signal, wherein the Wiener filter is calculated as:
• H
• W
• 
• (
• Ω
• )
• =
• 1
• -
• S
• y
• 
• 
• 1
• ,
• y
• 
• 
• 1
• 
• (
• Ω
• )
• S
• v
• 
• 
• 1
• ,
• v
• 
• 
• 1
• 
• (
• Ω
• )
• +
• S
• v
• 
• 
• 2
• ,
• v
• 
• 
• 2
• 
• (
• Ω
• )
• ,
• wherein:
• HW(Ω) is the Wiener filter,
• Sy1,y1(Ω) is an auto power spectral density of a sum of the first and the second interfering signals,
• Sv1,v1(Ω) is an auto power spectral density of a filtered left microphone signal,
• Sv2,v2(Ω) is an auto power spectral density of a filtered right microphone signal;
• inputting the left and the right microphone signals to a Blind Source Separation Filter;
• and
• approximating the sum of the first and the second interfering signals by an output of the Blind Source Separation Filter.

An acoustic signal processing system comprising a binaural microphone system, comprising:

• a left microphone with a left microphone signal comprising a source signal and a first interfering signal;
• a right microphone with a right microphone signal comprising the source signal and a second interfering signal;
• a Wiener filter that reduces a noise of the binaural microphone system, wherein the Wiener filter is calculated as:
• H
• W
• 
• (
• Ω
• )
• =
• 1
• -
• S
• y
• 
• 
• 1
• ,
• y
• 
• 
• 1
• 
• (
• Ω
• )
• S
• v
• 
• 
• 1
• ,
• v
• 
• 
• 1
• 
• (
• Ω
• )
• +
• S
• v
• 
• 
• 2
• ,
• v
• 
• 
• 2
• 
• (
• Ω
• )
• ,
• wherein:
• HW(Ω) is the Wiener filter,
• Sy1,y1(Ω) is an auto power spectral density of a sum of the first and the second interfering signals,
• Sv1,v1(Ω) is an auto power spectral density of a filtered left microphone signal, and
• Sv2,v2(Ω) is an auto power spectral density of a filtered right microphone signal;
• and
• a Blind Source Separation filter with the left and the right microphone signals as an input signal that approximates the sum of the first and the second interfering signals by an output of the Blind Source Separation filter.