关键词: 说话人识别, 高斯混合模型, 情感语音

Abstract: One of the largest challenges in speaker recognition is dealing with speaker-emotion variability problem.A neutral-emotion model transformation algorithm is presented to overcome this limitation，which builds a relationship between emotion and neutral models.In this method，only neutral speech is needed in training emotion models.The experiments on MASC show that the EER is reduced to 10.31% from the 16.06%，and the recognition performance can be improved by this algorithm.

Key words: speaker recognition, gaussian mixture model, emotion speech