Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition

Signal Processing

Volumn 88, Issue 12, 2008, Pages 2956-2970

  Ververidis, Dimitrios ^a   Kotropoulos, Constantine ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Bayes classifier; Cross validation; Feature selection; Variance of the correct classification rate of the Bayes classifier; Wrappers

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; CLUSTER ANALYSIS; ELECTRIC NETWORK ANALYSIS; ESTIMATION; FACE RECOGNITION; LEARNING SYSTEMS; RANDOM VARIABLES; SPEECH; STANDARDS;

BAYES CLASSIFIER; BAYES CLASSIFIERS; COMPUTATIONAL TIME; CORRECT CLASSIFICATION RATE; CROSS VALIDATIONS; CROSS-VALIDATION; EMOTIONAL SPEECH; EMOTIONAL STATES; FEATURE SELECTION; FORWARD SELECTION; MULTIVARIATE GAUSSIAN DISTRIBUTIONS; PAPER ADDRESSES; SPEECH EMOTION RECOGNITION; THEORETICAL ANALYSIS; VARIANCE ESTIMATES; VARIANCE OF THE CORRECT CLASSIFICATION RATE OF THE BAYES CLASSIFIER; WRAPPERS;

SPEECH RECOGNITION;

EID: 50049092345     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.07.001     Document Type: Article

References (21)

1. Cowie R., Douglas-Cowie E., Tsapatsoulis N., Votsis G., Kollias S., Fellenz W., and Taylor J.G. Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. 18 1 (2001) 32-80
2. Pantic M., and Rothkrantz L.J.M. Toward an affect-sensitive multimodal human-computer interaction. Proc. IEEE 91 9 (2003) 1370-1390
3. Oudeyer P. The production and recognition of emotions in speech: features and algorithms. Internat. J. Human-Computer Studies 59 (2003) 157-183
4. Scherer K.R. Vocal communication of emotion: a review of research paradigms. Speech Communication 40 (2003) 227-256
5. Juslin P.N., and Laukka P. Communication of emotions in vocal expression and music performance: different channels, same code?. Psychol. Bull. 129 5 (2003) 770-814
6. Ververidis D., and Kotropoulos C. Emotional speech recognition: resources, features, and methods. Speech Communication 48 9 (2006) 1162-1181
7. Kohavi R., and John G. Wrappers for feature subset selection. Artificial Intell. 97 (1997) 273-324
8. Jain A., and Zonger D. Feature selection: evaluation, application, and small sample performance. IEEE Trans. Pattern Anal. Machine Intell. 19 2 (1997) 153-158
9. Liu H., and Yu L. Toward integrating feature selection algorithms for classification and clustering. IEEE Trans. Knowledge Data Eng. 17 (2005) 491-502
10. Ferri F.J., Pudil P., Hatef M., and Kittler J. Comparative study of techniques for large scale feature selection. In: Moody J.E., Hanson S.J., and Lippmann R.L. (Eds). Pattern Recognition in Practice IV (1994), Elsevier, Amsterdam 403-413
11. Pudil P., Novovicova J., and Kittler J. Floating search methods in feature selection. Pattern Recognition Lett. 15 (1994) 1119-1125
12. Stone M. Cross-validatory choice and assessment of statistical predictions. J. Roy. Stat. Soc. (Series B) 36 2 (1974) 111-147
13. Burman P. A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods. Biometrika 76 3 (1989) 503-514
14. Evans M., Hastings N., and Peakock J. Statistical Distributions. third ed. (2000), Wiley, New York
15. Ververidis D., and Kotropoulos C. Fast sequential floating forward selection applied to emotional speech features estimated on DES and SUSAS data collections. Proceedings of the European Signal Processing Conference (EUSIPCO) (2006)
16. Nicholson W. On the normal approximation to the hypergeometric distribution. Ann. Math. Stat. 27 2 (1956) 471-483
17. Papoulis A., and Pillai S.U. Probability, Random Variables, and Stochastic Processes. fourth ed. (2002), McGraw-Hill, New York
18. Fukunaga K. Introduction to Statistical Pattern Recognition. second ed. (1990), Academic Press, New York
19. I.S. Engberg, A.V. Hansen, Documentation of the Danish emotional speech (DES) database, Internal AAU report, Center for Person Kommunikation, Aalborg University, Denmark, 1996.
20. Hansen J.H.L. Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition. Speech Communication 20 (1996) 151-173
21. Dietterich T. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation 10 (1998) 1895-1923