2016
Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace
ICASSP 2016accepted
This paper proposes an analytical approach based on Kernel Canonical Correlation Analysis (KCCA) for domain adaptation. To generate paired instances for KCCA, we mapped source and target data onto both source and target principal components. We performed pair-wise domain adaptation between four emot…