Performance improvement of speaker recognition by MCE-based score fusion

This paper proposes an improved feature extraction in glottal flow signals and minimum classification error-based fusion of multiple feature scores to improve speaker recognition accuracy. Experimental results show that the proposed score fusion method with the improved feature extraction in glottal flow signals outperforms conventional speaker recognition methods.