caa a22 4500 606159665 CHVBK 20210128100626.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00521-014-1755-1 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1755-1 Spoken emotion recognition via locality-constrained kernel sparse representation [Elektronische Daten] [Xiaoming Zhao, Shiqing Zhang] Spoken emotion recognition is currently a very active research topic and has attracted extensive attention in signal processing, pattern recognition, artificial intelligence, etc. In this paper, a new emotion classification method based on kernel sparse representation, named locality-constrained kernel sparse representation-based classification (LC-KSRC), is proposed for spoken emotion recognition. LC-KSRC is able to learn more discriminating sparse representation coefficients for spoken emotion recognition, since it integrates both sparsity and data locality in the kernel feature space. The proposed method is compared with six representative emotion classification methods, including linear discriminant classifier, K-nearest-neighbor, radial basis function neural networks, support vector machines, sparse representation-based classification and kernel sparse representation-based classification. Experimental results on two publicly available emotional speech databases, i.e., the Berlin database and the Polish database, demonstrate the promising performance of the proposed method on spoken emotion recognition tasks, outperforming the other used methods. The Natural Computing Applications Forum, 2014 Kernel sparse representation nationallicence Data locality nationallicence Spoken emotion recognition nationallicence Zhao Xiaoming Institute of Image Processing and Pattern Recognition, Taizhou University, 318000, Taizhou, People's Republic of China aut Zhang Shiqing Institute of Image Processing and Pattern Recognition, Taizhou University, 318000, Taizhou, People's Republic of China aut Neural Computing and Applications Springer London 26/3(2015-04-01), 735-744 0941-0643 26:3<735 2015 26 521 https://doi.org/10.1007/s00521-014-1755-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1755-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhao Xiaoming Institute of Image Processing and Pattern Recognition, Taizhou University, 318000, Taizhou, People's Republic of China aut NATIONALLICENCE 700 1- Zhang Shiqing Institute of Image Processing and Pattern Recognition, Taizhou University, 318000, Taizhou, People's Republic of China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/3(2015-04-01), 735-744 0941-0643 26:3<735 2015 26 521