Self-Adaptive Tuning for Speech Enhancement Algorithm Based on Evolutionary Approach

Abstract

In this paper a novel approach to speech enhancement algorithm tuning is presented. A self-adaptive tuning method was developed using an evolutionary optimization algorithm. Through this new approach, an improvement on the multiband spectral subtraction method was obtained by using a genetic algorithm to adaptively tune the algorithm's parameters for the speech being processed. Experimental tests using objective quality and intelligibility measures showed that the proposed artificial intelligence-based method offers better noise reduction with less signal distortion when compared to existing speech enhancement methods.