Emotional speaker verification with linear adaptation
Fanhu Bie, Dong Wang, Thomas Fang Zheng, Ruxin Chen · 2013
Speaker verification suffers from significant performance degradation on emotional speech. We present an adaptation approach based on maximum likelihood linear regression (MLLR) and its feature-space variant, CMLLR. Our preliminary experiments demonstrate that this approach leads to considerable performance improvement, particularly with CMLLR (about 10% relative EER reduction in average). We also find that the performance gain can be significantly increased with a large set of training data for the transform estimation.