Gender and affect recognition based on GMM and GMM-UBM modeling with relevance MAP estimation

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2810-2813

  Gajšek, Rok ^a   Žibert, Janez ^b   Justin, Tadej ^a   Štruc, Vitomir ^a   Vesnicer, Boštjan ^c   Mihelič, France ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b UNIVERSITY OF PRIMORSKA   (Slovenia)

^c ALPINEON D O O   (Slovenia)

Author keywords

Affect recognition; Emotion recognition; Gender recognition; GMM UBM; MAP

Indexed keywords

MAPS; OBJECT RECOGNITION; SPEECH COMMUNICATION; SPEECH PROCESSING; SPEECH RECOGNITION;

AFFECT RECOGNITION; EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL; GENDER RECOGNITION; GMM-UBM; MAXIMUM A POSTERIORI ESTIMATION; MEL FREQUENCY CEPSTRUM COEFFICIENTS; UNIVERSAL BACKGROUND MODEL; BASELINE SYSTEMS; CROSS-CORRELATIONS; GMM/UBM; MAP ESTIMATION; PARALINGUISTIC; TEST SETS;

SUPPORT VECTOR REGRESSION; EMOTION RECOGNITION;

EID: 79959823933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, and J. Taylor, "Emotion recognition in human-computer interaction," IEEE Signal Processing Magazine, vol. 18 (1), no. 1, pp. 32 - 80, January 2001. [Online]. Available: http://www.image.ece.ntua.gr/ publications.php (Pubitemid 32287669)
2. B. Schuller, S. Steidl, A. Batliner, F. Burkhardt, L. Devillers, C. Müller, and S. Narayanan, "The INTERSPEECH 2010 paralin-guistic challenge," in INTERSPEECH, ISCA, Ed. ISCA, 2010.
3. D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted gaussian mixture models," in Digital Signal Processing, 2000, p. 2000.
4. R. Gajšek, V. Štruc, S. Dobrišek, and F. Mihelič, "Emotion recognition using linear transformations in combination with video," in Proceedings of INTERSPEECH 2009, 2009.
5. R. Gajšek, V. Štruc, F. Mihelič, A. Podlesek, L. Komidar, G. Sočan, and B. Bajec, "Multi-modal emotional database: Avid," Informatica (Ljubljana), vol. 33, no. 1, pp. 101-106, 2009.
6. M. Kockmann, L. Burget, and J. Černocký, "Brno university of technology system for interspeech 2009 emotion challenge," in Proc. INTERSPEECH 2009, Brighton, UK. ISCA, 2009, pp. 348-351.
7. B. Schuller, S. Steidl, and A. Batliner, "The INTERSPEECH 2009 emotion challenge," in Proc. INTERSPEECH 2009, Brighton, UK. ISCA, 2009, pp. 312-315.
8. F. Eyben, M. Wöllmer, and B. Schuller, "openEAR - introducing the munich open-source emotion and affect recognition toolkit," in Proc. 4th International HUMAINE Association Conference on Affective Computing and Intelligent Interaction 2009 (ACII 2009), Amsterdam, The Netherlands, vol. I. IEEE, 2009, pp. 576-581.
9. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society. Series B (Methodological), vol. 39, no. 1, pp. 1-38, 1977. [Online]. Available: http://www.jstor.org/stable/2984875
10. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The weka data mining software: An update," SIGKDD Explorations, vol. 11, no. 1, 2009.
11. C.-C. Chang and C.-J. Lin, LIBSVM: a library for support vector machines, 2001, software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
12. S. J. Young, G. Evermann, M. J. F. Gales, T. Hain, D. Kershaw, G. Moore, J. Odell, D. Ollason, D. Povey, V. Valtchev, and P. C. Woodland, The HTK Book, version 3.4.1. Cambridge, UK: Cambridge University Engineering Department, 2009.