Emotion is one of the important factors that cause the system performance degradation. By analyzing the similarity between channel effect and emotion effect on speaker recognition, an emotion compensation method called emotion attribute projection (EAP) is proposed to alleviate the intra-speaker emotion variability. The use of this method has achieved an equal error rate (EER) reduction of 11.7% with the EER reduced from 9.81% to 8.66%. When a linear fusion based on a GMM-UBM system with an EER of 9.38% and an SVM-EAP system with an EER of 8.66% is adopted, another EER reduction of 22.5% and 16.1% can be further achieved, respectively, and the final EER can be 7.27%.
Bibliographic reference. Bao, Huanjun / Xu, Ming-Xing / Zheng, Thomas Fang (2007): "Emotion attribute projection for speaker recognition on emotional speech", In INTERSPEECH-2007, 758-761.