Locality Preserved Joint Nonnegative Matrix Factorization for Speech Emotion Recognition

Seksan MATHULAPRANGSAN, Yuan-Shan LEE, Jia-Ching WANG
2019 IEICE transactions on information and systems  
This study presents a joint dictionary learning approach for speech emotion recognition named locality preserved joint nonnegative matrix factorization (LP-JNMF). The learned representations are shared between the learned dictionaries and annotation matrix. Moreover, a locality penalty term is incorporated into the objective function. Thus, the system's discriminability is further improved.
doi:10.1587/transinf.2018dal0002 fatcat:3atsfbqtenaunh5tawcr4sdx74