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Emotion mismatch between training and testing is one of the important factors causing the performance degradation of speaker recognition system. In this paper, we proposed an emotional development method based on virtual high differences emotional speech of the baseband mapping to build the speech closer to the real high differences emotional speech on the characteristics distribution, by adjusting the neutral voice baseband mean, then build the speakers' high difference emotional model. And by combining with the neutral model to improve speech description ability of speaker model in every emotional state. As a result, the recognition performance of emotional speaker will be improved.

Emotional Development Method of Virtual High Differences Emotional Speech Based on the Baseband Mapping