As a hot research field, speech emotion recognition has attracted increasing attentions from both academic and business. In this paper, we proposed a method to recognize speech emotions adopting ANNs and to fuse two kinds of recognitions using different features at the decision level. Each emotional utterance is recognized by some individual recognizers firstly. Then the outputs of these recognizers were fused adopting the voting strategy. Furthermore, the dimensionality of supervectors constructed from spectral features is reduced through PCA. Experimental results demonstrated that the proposed decision fusion is effective and the dimensionality reduction is feasible.
Bibliographic reference. Xu, Lu / Xu, Mingxing / Yang, Dali (2009): "ANN based decision fusion for speech emotion recognition", In INTERSPEECH-2009, 2035-2038.