A novel hierarchical speech emotion recognition method based on improved DDAGSVM

Computer Science and Information Systems

Volumn 7, Issue 1, 2010, Pages 211-222

  Mao, Qi Rong ^a   Zhan, Yong Zhao ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Confusion degree; Geodesic distance; Hierarchical recognition method; Improved DDAGSVM; Speech emotion recognition

Indexed keywords

EID: 77954231813     PISSN: 18200214     EISSN: None     Source Type: Journal    
DOI: 10.2298/CSIS1001211Q     Document Type: Article

References (22)

1. Bhatti M. W., Wang Y., Guan L.: A Neural Network Approach for Human Emotion Recognition in Speech. In Conf. ISCAS. Vancouver, BC, Canada, 181-184. (2004)
2. Nwe T. L., Foo S. W., Silva L. C. D.: Speech Emotion Recognition Using Hidden Markov Models. Speech Communication, Vol. 41, No. 4, 603-623. (2003)
3. Schuller B., Rigoll G., Lang M.: Hidden Markov Model-Based Speech Emotion Recognition. In IEEE Int. Conf. ICASSP. New York, USA, 1-4. (2003)
4. Moataz M. H., Mohamed S., Fakhri K.: Speech Emotion Recognition Using Gaussian Mixture Vector Autoregressive Models. In IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP). Beijing, China, IV-957-960. (2007)
5. Hu H., Xu M. X., Wu W.: GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition. In Conf. of ICASSP. Beijing, China, 413-416. (2007)
6. Wang Y. J., Guan L. Recognizing Human Emotional State From Audiovisual Signals. IEEE TRANSACTIONS on Multimedia,Vol.10, No.4, 659-667. (2008)
7. Zeng Z. H., Tu J. L., Brian M. P., Thomas S. H.: Audio-Visual Affective Expression Recognition Through Multistream Fused HMM. IEEE Transaction on Multimedia, Vol.10, No.4, 570-577. (2008)
8. Lin Y. L., Wei G., Yang K. C.: A Survey of Emotion Recognition in Speech. Journal of Circuits and Systems, Vol.12, No.1, 90-98 (in Chinese). (2007)
9. Dimitrios V., Constantine K.: Emotional Speech Recognition: Resources, Features, and Methods. Speech Communication, Vol. 48, 1162-1181. (2006)
10. Mao Q. R., Wang X. J., Zhan Y. Z., Pan Z. G.: Speech Emotion Recognition Method Based on Selective Features and Decision Binary Tree. Journal of Computational Information Systems, Vol. 4, No.4, 1795-1801. (2008)
11. John C. P., Nello C., John S. T.: Large Margin DAGs for Multiclass Classification, S.A. Solla, T.K. Leen and K.-R. M̈uller (eds.), MIT Press, 547-553. (2000)
12. Takahashi, F., Abe, S.: Optimizing Directed Acyclic Graph Support Vector Machines. In Proc. of ANN in Pattern Recognition, 166-170. (September 2003)
13. Huang C. H., Wang C. J.: A GA-based Feature Selection and Parameters Optimization for Support Vector Machines. Expert Systems with Applications, Vol. 31, No. 2, 231-240. (2006)
14. Ververidis D., Kotropoulos C.: Fast and Accurate Sequential Floating Forward Feature Selection with the Bayes Classifier Applied to Speech Emotion Recognition. Signal Processing, Vol.88, 2956-2970. (2008)
15. Altun H., Polat G.: Boosting Selection of Speech Related Features to Improve Performance of Multi-class SVMs in Emotion Detection. Expert Systems with Applications, Vol. 36, No. 4, 8197- 8203. (2009)
16. Wang X. J., Mao Q. R., Zhan Y. Z.: Speech emotion feature selection method based on contribution analysis algorithm of neural network. AIP Conference proceedings, Vol.1060, 336-339. (2007)
17. Hsu C. W. and Lin C. J.: A Comparison of Methods for Multiclass Support Vector Machines. IEEE Transaction on Neural Networks, Vol. 13, No. 2, 415-425.(2002)
18. You M. Y., Chun C., Bu J. J., Tao J. H.: Analysis on Nonlinear Manifold. In proc. of ICPR'06, Vol.3, 91-94. (2006)
19. Mao Q. R.: Research on the feature extraction and the recognition metod of speech emotion. Ph. D. thesis. Zhenjiang, Jiangsu University, 27-28 (in Chineese). (2009)
20. Roddy C., Randolph R. C.: Describing the Emotional Classes That are Expressed in Speech. Speech Commuication, Vol. 40, 5-32. (2003).
21. Zhan Y. Z., Cao P.: Research and Implementation of Emotional Feature Extraction and Recognition in Speech Signal, Journal of Jiangsu University (National Science Edition), Vol. 26, No.1, 72-75(in Chinese). (2005)
22. Lin Y. L.: Research on Speech Emotion Recognition. Ph.D. Thesis. Guangzhou, South China University of Technology, 51-57, (in Chinese). (2006)