A Compact-Microphone-Array-Based Speech Enhancement Algorithm Using Auditory Subbands and Probability Constrained Postfilter

A microphone-array-based speech enhancement algorithm is proposed in this paper. Two omni-directional microphones are placed in end-fire orientation. The received acoustic signals are processed by a modified version of adaptive null-forming algorithm, which features a gammmatone filterbank to decompose the input into a series of auditory subbands and implement null-forming in each of them. The approach also includes a postfiltering method to further enhance the desired signal. Considerable improvement on directivity and signal- to-noise ratio (SNR) is achieved with comparatively small array size of about 2cm. It is also capable of canceling transient interference coming from directions other than look direction. Experiments confirm the effectiveness of the proposed system.