Classification on speech emotion recognition-a comparative study

International Journal on Advances in Life Sciences

Volumn 2, Issue 1-2, 2010, Pages 18-28

  Iliou, Theodoros ^a   Anagnostopoulos, Christos Nikolaos ^a  

^a UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

Artificial neural networks; Emotion recognition; Speech processing; Support vector machine

Indexed keywords

EID: 84883217697     PISSN: None     EISSN: 19422660     Source Type: Journal    
DOI: None     Document Type: Article

References (38)

1. M. Pantic and L. J. M. Rothkrantz, "Toward an affect-sensitive multimodal human-computer interaction", Proceedings of the IEEE, vol. 91, Issue 9, Sept. 2003, pp. 1370-1390, doi: 10.1109/JPROC. 2003.817122.
2. R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, and J. G. Taylor, "Emotion recognition in humancomputer interaction.", IEEE Signal Processing Magazine, vol. 18, Issue 1, Jan. 2001, pp. pp. 32-80, doi: 10.1109/79.911197.
3. J. Ang, R. Dhillon, A. Krupski, E. Shriberg, and A. Stolcke, "Prosody-based automatic detection of annoyance and frustration in human-computer dialog", Proc. International Conference on Spoken Language Processing (ICSLP 2002), ISCA, Dec. 2002, pp. 2037-2040.
4. Theodoros Iliou and Christos-Nikolaos Anagnostopoulos, "Statistical Evaluation of Speech Features for Emotion Recognition," icdt, pp.121-126, 2009 Fourth International Conference on Digital Telecommunications, 2009.
5. L. C. De Silva and P. C. Ng, "Bimodal emotion recognition", Proc. 4th IEEE Intrnational Conference on Automatic Face and Gesture Recognition (FG), IEEE, March 2000, pp. 332-335, doi: 10.1109/AFGR.2000.840655.
6. V. Petrushin, "Emotion recognition in speech signal: experimental study, development, and application", Proc. Sixth International Conference on Spoken Language Processing (ICSLP 2000), ISCA, Oct.2000. vol 2, pp. 222-225.
7. F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and B. Weiss, "A database of german emotional speech" Proc. 9th International Conference on Spoken Language Processing (INTERSPEECHICSLP 2005), ISCA, Sept. 2005, pp. 1517-1520.
8. P. J. Lang, "The Emotion Probe: Studies of Motivation and Attention", American Psychologist, vol 50, no. 5, May 1995, pp. 372-85.
9. S. Kim, P. Georgiou, S. Lee, and S. Narayanan. "Real-time emotion detection system using speech: Multi-modal fusion of different timescale features", Proc. 9th IEEE Workshop on Multimedia Signal Processing Workshop, Oct. 2007, pp. 48-51, doi 10.1109/MMSP.2007.4412815.
10. DTREG, [Computer program], http://www.dtreg.com/; last access date [June 10, 2010].
11. Jef Raskin: The humane interface. New directions for designing interactive systems. Addison-Wesley, Boston 2000 ISBN 0-201-37937-6
12. Theodoros Iliou and Christos-Nikolaos Anagnostopoulos, "Comparison of Different Classifiers for Emotion Recognition," pci, pp.121-126, 2009 Fourth PanHellenic Conference on Informatics, 2009.
13. Y. Yoshitomi, S. Kim, T. Kawano, and T. Kitazoe, "Effect of sensor fusion for recognition of emotional states using voice, face image and thermal image of face", Proc. 9th IEEE International Workshop on Robot and Human Interactive Communication (ROMAN), IEEE, Sept. 2000, pp. 178-183, doi: 10.1109/ROMAN.2000.892491.
14. V. Hozjan and Z. Kacic, "Context-independent multilingual emotion recognition from speech signals", International journal of Speech Technology, vol. 6, July 2003, pp. 311-320, doi: 10.1023/A:1023426522496.
15. D. Morrison, R. Wang, and L. C. De Silva, "Ensemble methods for spoken emotion recognition in call-centres", Speech Communication, vol. 49, issue 2, Feb. 2007, pp. 98-112, doi: 10.1016/j.specom.2006.11.004.
16. Fant, G. (1960). Acoustic Theory of Speech Production. Mouton & Co, The Hague, Netherlands.
17. T. Bänziger and K.R. Scherer, "The role of intonation in emotional expression", Speech Communication, vol.46, issues 3-4, July 2005, pp. 252-267, doi:. 10.1016/j.specom.2005.02.016.
18. W. H. Abdulla and N. K. Kasabov, "Improving speech recognition performance through gender separation", Proc. Fifth Biannual Conference on Artificial Neural Networks and Expert Systems (ANNES), University of Otago Printery, Nov. 2001, pages 218-222.
19. Y. Wang and L. Guan, "Recognizing human emotion from audiovisual information", Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASP), March 2005, pp. 1125-1128.
20. T. Vogt and E. Andre, "Improving Automatic Emotion Recognition from Speech via Gender Differentiation", Proc. Language Resources and Evaluation Conference (LREC), May 2006, pp. 1123-1126.
21. T. P. Kostoulas and N. Fakotakis, "A Speaker Dependent Emotion Recognition Framework", Proc. 5th International Symposium, Communication Systems, Networks and Digital Signal Processing (CSNDSP), University of Patras, July 2006, pp. 305-309.
22. M. Fingerhut, "Music Information Retrieval, or how to search for (and maybe find) music and do away with incipits", Proc. joint Conf. International Association of Music Libraries, International Association of Sound and Audiovisual Archives (IAML-IASA), Aug. 2004, CD proceedings.
23. D. Talkin, "A Robust Algorithm for Pitch Tracking (RAPT)", in Speech Coding & Synthesis, W. B. Kleijn, K. K. Paliwal, Eds., Elsevier Science Inc., 1995.
24. http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html; last access date [June 10, 2010].
25. http://www.ee.columbia.edu/~dpwe/resources/matlab/rastamat/; last access date [June 10, 2010].
26. K.R. Scherer, "Vocal communication of emotion: a review of research paradigms", Speech Communication, vol 40, issues 1-2, April 2003, pp. 227-256, doi: 10.1016/S0167-6393(02)00084-5.
27. L.R. Rabiner and R.W. Schafer, Digital Processing of Speech Signals. Prentice-Hall, Englewood Cliffs, New Jersey, 1978.
28. C. M. Lee, S. Yildirim, M. Bulut, A. Kazemzadeh, C. Busso, Z. Deng, S. Lee, and S. Narayanan, "Emotion recognition based on phoneme classes", Proc. 8th International Conference on Spoken Language Processing (INTERSPEECH-ICSLP 2004), Oct. 2004, pp. 889-892.
29. P. Boersma and D. Weenink, "Praat: doing phonetics by computer (Version 4.6.09)", 2005 [Computer program], http://www.praat.org/; last access date [June 10, 2010].
30. http://www.spss.com/corpinfo/?source=homepage&hpzone=nav; last access date [June 10, 2010].
31. S. Siegel, Non-parametric Statistics for the Behavioral Sciences. McGraw-Hill Book Co., Inc., New York, 1956.
32. Neural Networks as Cybernetic Systems 2nd and revised edition, Holk Cruse.
33. Haykin, Simon (1998). Neural Networks: A Comprehensive Foundation (2 ed.). Prentice Hall. ISBN 0132733501.
34. D. Specht, Probabilistic neural networks Neural Networks vol. 3 pp.109-118,1990.
35. Belur V. Dasarathy, ed (1991). Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. ISBN 0-8186-8930-7.
36. Corinna Cortes and V. Vapnik, "Support-Vector Networks", Machine Learning, 20, 1995.
37. Breiman, Leo (2001). "Random Forests". Machine Learning 45 (1): 5-32. doi:10.1023/A:1010933404324.
38. T. Kostoulas, T. Ganchev, and N. Fakotakis, "Study on speakerindependent emotion recognition from speech on real-world data", in Verbal and Nonverbal Features of Human-Human and Human- Machine Interaction, A. Esposito, Eds. Springer Verlag, Berlin, Heidelberg, 2008, pp. 235-242.