This paper proposes a spatial post-filter for speech enhancement in reverberant environments, such as meeting rooms and lecture halls, using widely distributed microphones. The method operates in the time-frequency domain by aggregating phase-corrected cross-spectral similarities between microphone pairs to form a unified spatial filter. This filter can be applied to omnidirectional or beamformed signals to extract a target source from a mixture while reducing the influence of spatial aliasing. The approach is evaluated in simulated multitalker scenarios and validated through objective performance metrics and subjective listening tests under varied acoustic conditions. Results demonstrate robust suppression of interference and consistent enhancement of the desired source.
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