Diverse processing in cochlear spaced sub-bands for multi-microphone adaptive speech enhancement in reverberant environments

A multi-microphone sub-band adaptive speech enhancement scheme using a human cochlear model is presented. The effect of distributing the sub-bands non-linearly as in humans is investigated. A new robust metric is developed in order to automatically select the best form of diverse processing within each sub-band. Comparative results achieved in simulation experiments demonstrate that the proposed scheme employing diverse processing in cochlear spaced sub-bands is capable of significantly outperforming conventional noise cancellation schemes.