Speech-based emotion classification using multiclass SVM with hybrid kernel and thresholding fusion

2012 IEEE Workshop on Spoken Language Technology, SLT 2012 - Proceedings

Volumn , Issue , 2012, Pages 455-460

  Yang, N ^a   Muraleedharan, R ^b   Kohl, J ^a   Demirkol, I ^c   Heinzelman, W ^a   Sturge Apple, M ^d  

^a University of Rochester   (United States)

^b Rowan University   (United States)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^d UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Emotion classification; hybrid kernel; speaker independent; support vector machine; thresholding fusion

Indexed keywords

ACOUSTIC FEATURES; BEHAVIORAL STUDIES; CLASSIFICATION ACCURACY; EMOTION CLASSIFICATION; FUSION MECHANISM; HUMAN INTERACTIONS; HYBRID KERNEL; MULTICLASS SVM; OPTIMAL KERNELS; REAL SYSTEMS; SPEAKER INDEPENDENTS; STATE-OF-THE-ART APPROACH; THRESHOLDING;

CLASSIFICATION (OF INFORMATION); LEARNING ALGORITHMS;

SUPPORT VECTOR MACHINES;

EID: 84874225717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2012.6424267     Document Type: Conference Paper

References (19)

1. "Emotional prosody speech and transcripts from the linguistic data consortium," http://www.ldc. upenn.edu/Catalog/catalogEntry.jsp? catalogId=LDC2002S28.
2. D. Bitouk, V. Ragini, and N. Ani, "Class-level spectral features for emotion recognition," Journal of Speech Communication, vol. 52, no. 7-8, pp. 613-625, 2010.
3. P. Gupta and N. Rajput, "Two-Stream Emotion Recognition for Call Center Monitoring," in INTERSPEECH, 2007, pp. 2241-2244.
4. F. Al Machot, A. H. Mosa, K. Dabbour, A. Fasih, C. Schwarzlmuller, M. Ali, and K. Kyamakya, "A novel real-time emotion detection system from audio streams based on bayesian quadratic discriminate classifier for adas," in Nonlinear Dynamics and Synchronization 16th Int'l Symposium on Theoretical Electrical Engineering, 2011 Joint 3rd Int'l Workshop on, 2011.
5. D. Tacconi, O. Mayora, P. Lukowicz, B. Arnrich, C. Setz, G. Troester, and C. Haring, "Activity and Emotion Recognition to Support Early Diagnosis of Psychiatric Diseases," in Pervasive Healthcare, 2008.
6. R. Cowie, E. Douglas-Cowie, S. Savvidou, E. McMahon, M. Sawey, and M. Schr̈oer, "Feeltrace: An instrument for recording perceived emotion in real time," in Proceedings of the ISCA Workshop on Speech and Emotion, 2000, pp. 100-102.
7. D. Ververidis and C. Kotropoulos, "Emotional speech recognition: Resources, features, and methods," Speech Communication, vol. 48, no. 6, pp. 1162-1181, September 2006.
8. V. Sethu, E. Ambikairajah, and J. Epps, "Empirical mode decomposition based weighted frequency feature for speech-based emotion classification," in ICASSP, 2008, pp. 5017-5020.
9. M. Shamia and M. Kamel, "Segment-based approach to the recognition of emotions in speech," in Proceedings of IEEE International Conference on Multimedia and Expo 2005, 2005.
10. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag New York, Inc., 1995.
11. V. N. Vapnik, Statistical Learning Theory, Wiley-Interscience, 1998.
12. A. Vlachos, "Active learning with support vector machines," Tech. Rep., School of Informatics, University of Edinburgh, 2004.
13. A. Garg, M. Bhasin, and G. P. S. Raghava, "Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search," The Journel Of Biological Chemistry, vol. 280, no. 15, pp. 14427-14432, 2004.
14. M. H. Song, J. Lee, S. P. Cho, K. J. Lee, and S. K. Yoo, "Support vector machine based arrhythmia classification using reduced features," International Journal of Control, Automation, and Systems, vol. 3, no. 4, pp. 571-579, 2005.
15. M. G̈onen and E. Alpaydin, "Multiple kernel learning algorithms," Journal of Machine Learning Research, vol. 12, pp. 2211-2268, 2011.
16. M. Farŕus, P. Ejarque, A. Temko, and J. Hernando, "Histogram equalization in svm multimodal person verification," in Proceedings of IAPR/IEEE International Conference on Biometrics, 2007.
17. M. Goudbeek, J. P. Goldman, and K. R. Scherer, "Emotion dimensions and formant position," in Interspeech, 2009.
18. L. B. Jackson, Digital Filters and Signal Processing, Kluwer Academic Publishers, 1989.
19. "Wireless Communication and Networking Group, University of Rochester," http://www.ece. rochester.edu/projects/wcng/project-bridge. html.