This paper presents a novel post-filter for noise reduction. A subspace based noise estimation method is developed with the use of multiple statistical distributions to model the speech and noise. The signal-plus-noise subspace dimension is determined by maximizing the target speech presence probability in noisy frames, so as to estimate the noise power spectrum for post-filter design. Then, masking property is incorporated in the post-filter technique for residual noise shaping. Experimental results show that the proposed scheme outperforms the baseline systems in terms of various quality measurements of the enhanced speech.
Bibliographic reference. Cheng, Ning / Liu, Wenju / Wang, Lan (2010): "Masking property based microphone array post-filter design", In INTERSPEECH-2010, 961-964.