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Improving the speech intelligibility remains a challenging problem in digital hearing aids. This research work proposes a new speech segregation algorithm to improve the speech intelligibility by effectively fusing the voiced and unvoiced segment of the speech signal using the genetic algorithm. The voiced speech segments are obtained using perceptual speech cues such as auto-correlation, cross-channel correlation and pitch. Similarly, the unvoiced speech segments are obtained using another perceptual speech cue onset/offset after subtracting the voiced segments. The speech onset- and offset-based segregation process actually produce segments for both voiced and unvoiced. The unvoiced speech segments are obtained by subtracting the voiced speech segments from the segments obtained using speech onset and offset. The unvoiced speech segments obtained using onset and offset may …