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This research work proposes a new Genetic Algorithm (GA) based fusion scheme to effectively fuse the Time–Frequency (T–F) binary mask of voiced and unvoiced speech. The perceptual cues such as correlogram, cross-correlogram and pitch are commonly used to obtain the T–F binary mask of voiced speech. Recently, researchers use speech onset and offset to segment the unvoiced speech from the noisy speech mixture. Most of the research work which uses speech onset and offset to represent the unvoiced speech, combine the segments of unvoiced speech with the segments of voiced speech to obtain the T–F binary mask. This research work effectively fuses the T–F binary mask of voiced and unvoiced speech, instead of combining the segments of voiced and unvoiced speech using a Genetic Algorithm (GA). Moreover, a new method is proposed in this research work to obtain a T–F binary mask …