Selective audio source enhancement

An audio enhancement system comprising:

• a pre-processing unit configured to receive a multichannel audio input signal and decompose each channel of the multichannel audio input signal into a series of buffered frequency sub-band signals;
• a target source detection unit configured to generate a target presence probability for the buffered frequency sub-band signals, the target presence probability representing a likelihood that the buffered frequency sub-band signals include a target signal from a target source;
• a spatial filter estimation unit configured to receive the target presence probability and perform a supervised independent component analysis (“ICA”) adaptation for each of the buffered frequency sub-band signals to estimate spatial filters for separating the target signal and noise, wherein the spatial filters for the target signal and the noise are estimated in the same adaptation;
• a spatial filtering unit configured to filter each of the buffered frequency sub-band signals using the estimated spatial filters to produce linear estimations of the target signal and the noise;
• a spectral filtering unit configured to receive the buffered frequency sub-band signals and the spatially filtered buffered frequency sub-band signals and generate an enhanced target signal for each of the buffered frequency sub-band signals;
• and
• a synthesis unit configured to receive each of the enhanced target signals and construct a time-domain audio output signal comprising the enhanced target signals.

An audio enhancement method comprising:

• decomposing each channel of a multichannel audio input signal into a series of buffered frequency sub-band signals;
• generating a target presence probability for the buffered frequency sub-band signals, the target presence probability representing a likelihood that a frame of the buffered frequency sub-band signals includes a target signal;
• estimating spatial filters for separating the target signal and noise by performing a supervised independent component analysis (“ICA”) adaptation for each of the buffered frequency sub-band signals using the target presence probability, wherein the spatial filters for the target signal and the noise are estimated in the same adaptation;
• applying the estimated spatial filters to the buffered frequency sub-band signals to produce a linear estimation of the target signal and the noise;
• generating an enhanced target signal for each of the buffered frequency sub-band signals;
• and
• constructing an enhanced mono time-domain audio output signal corresponding to the enhanced target signals.