Emotion recognition using novel speech signal features

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn , Issue , 2007, Pages 345-348

  Tabatabaei, Talieh Seyed ^a   Krishnan, Sridhar ^a   Guergachi, Aziz ^a  

^a RYERSON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN COMPUTER INTERACTION; SPEECH; SUPPORT VECTOR MACHINES;

AUTOMATIC EMOTION RECOGNITION (AER); AUTOMATIC HUMAN EMOTION RECOGNITION SYSTEM; LINEAR CLASSIFIER;

GESTURE RECOGNITION;

EID: 34548838008     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iscas.2007.378460     Document Type: Conference Paper

References (17)

1. N. Cristianini and J. SH. Taylor, An Introduction to Support Vector Machines and Other Kernel-based Methods. United Kingdom: Cambridge University Press, 2000.
2. C.J. Burges, "A tutorial on support vector machine for pattern recognition," Knowledge Discovery and Data Mining, vol. 2, pp. 121-167, June, 1998.
3. I.E. Naqa, Y. Yang, M. N. Wcrnick, N. P. Galatsanos, and R. M. Nohikawa, "A support vector machine approach for detection of microcalifications, " IEEE trans. Med. Imag., vol.21, NO. 12, December, 2002.
4. P.H. Chen, C. J. Lin, and B. Schölkopf, "A tutorial on v - support vector machines," unpublished.
5. B. Schölkopf and A. J. Smola, Learning with kernels - support vector machines, regularizaron, optimization, and beyond. Cambridge, MA: MIT press, 2002.
6. J. A. K. Suykens, T. V. Gestel, J. D. Brabanter, B. D. Moor, and J. Vandewalle, Least square support vector machines. Singapore: World scientific publishing Co. Pte. Ltd., 2002.
7. S. Hoch, F. Althoff, G. McGlaun, and G. Rigoll, "Bimodal fusion of emotional data in an automotive environment," proceeding of IEEE international conference on acoustic, speech, and signal processing. Vol. 2, PP. 1085-1088, 18-23 March 2005.
8. CA. Martinez and A.B. Cruz, "Emotion recognition in non-structured utterance for human-robot interaction", IEEE international workshop on robot and human interactive communication, PP. 19-23, 13-15 Aug. 2005.
9. T. Nguyen and I. Bass, "Investigation of combining SVM and decision tree for emotion classification," seventh IEEE international symposium on multimedia, PP. 540-544, 2005.
10. ZJ. Chuang, CH. Wu, "Emotion recognition using acoustic features and textual content", IEEE international conference on multimedia and expo, Vol. 1, PP. 53-56, 27-3-June 2004.
11. YL. Lin and G. Wei, "Speech emotion recognition based on HMM and SVM," proceeding of International conference on machine learning and cybernetics, Vol. 8, PP 4898-4901, 18-21 Aug. 2005.
12. B. Schuller, G. Rigoll, and M. Lang, "Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture, " Proceedings of IEEE International Conference on Acoustic, Speech, and Signal Processing, vol.1, PP. 1-577-80, 17-21 May, 2004.
13. B. Schuller, G. Rigoll, and M. Lang, "Hidden Markov model-based speech emotion recognition, " Proceeding of the IEEE International Conference on Acoustic, Speech, and Signal Processing, PP. I-401-04, 6-10 April, 2003.
14. th International Conference on Neural Information Processing, vol. 2, PP. 495-501, 1999.
15. V. A. Petrushin, "Creating emotion recognition agents for speech signal, " unpublished.
16. nd International Conference on Data Engineering Workshop, 3-7 April 2006.
17. D. Tsujinishi, Y. Koshiba, and SH. Abe, "Why pairwise is better that One-against-All or All-at-Once," Proceedings of IEEE International Conference on Neural Networks, vol. 1, PP. 693-698, July 2004.