Improving emotion recognition using class-level spectral features

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2009, Pages 2023-2026

  Bitouk, Dmitri ^a   Nenkova, Ani ^b   Verma, Ragini ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Emotion recognition

Indexed keywords

CLASSIFICATION ACCURACY; DATA SETS; EMOTION RECOGNITION; PROSODIC FEATURES; SPECTRAL COEFFICIENTS; SPECTRAL FEATURE; SPEECH SIGNALS; TYPE CLASS;

FACE RECOGNITION; LINGUISTICS; SPECTROSCOPY; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 70450176956     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. V. Petrushin, "Emotion in speech: recognition and application to call centers," in Proceedings of Artificial Neural Networks in Engineering, 1999, pp. 7-10.
2. R. Fernandez and R. Picard, "Modeling drivers' speech under stress," Speech Communication, pp. 145-159, 2003.
3. D. J. Litman and K. Forbes-Riley, "Predicting student emotions in computer-human tutoring dialogues," in Proceedings of Association for Computational Linguistics, 2004, pp. 352-359.
4. R. Banse and K. Scherer, "Acoustic profiles in vocal emotion expression," Journal of Personality and Social Psychology, vol. 70, no. 3, pp. 614-636, 1996.
5. F. Dellaert, T. Polzin, and A. Waibel, "Recognizing emotion in speech," in Proceedings of the CMC, 1996, pp. 1970-1973.
6. S. McGilloway, S. Cowie, E. Douglas-Cowie, S. Gielen, M. Westerdijk, and S. Stroeve, "Aproaching automatic recognition of emotion from voice: a rough benchmark," in ISCA Workshop on Speech and Emotion, 2000, pp. 200-205.
7. R. Huang and C. Ma, "Toward a speaker-independent real-time affect detection system," in International Conference on Pattern Recognition, 2006, pp. 1204-1207.
8. T. Tabatabaei, S. Krishnan, and A. Guergachi, "Emotion recognition using novel speech signal features," in IEEE International Symposium on Circuits and Systems, 2007, pp. 345-348.
9. D. Neiberg, K. Elenius, and K. Laskowski, "Emotion recognition in spontaneous speech using gmms," in Interspeech, 2006.
10. O. W. Kwon, K. Chan, J. Hao, and T. Lee, "Emotion recognition by speech signals," Proceedings of 8th European Conference on Speech Communication and Technology, pp. 125-128, 2003.
11. B. Schuller, R. Mller, M. Lang, and G. Rigoll, "Speaker independent emotion recognition by early fusion of acoustic and linguistic features within ensembles," in Interspeech, 2005, pp. 805-809.
12. J. Nicholson, K. Takahashi, and R. Nakatsu, "Emotion recognition in speech using neural networks," Neural Computing and Applications, 2000.
13. T. Nwe, S. Foo, and L. D. Silva, "Speech emotion recognition using hidden Markov models," Speech Communication, vol. 41, no. 4, pp. 603-623, 2003.
14. C. Lee, S. Yildirim, M. Bulut, A. Kazemzadeh, C. Busso, Z. Deng, S. Lee, and S. Narayanan, "Emotion recognition based on phoneme classes," in Interspeech, 2004, pp. 205-211.
15. V. Sethu, E. Ambikairaja, and J. Epps, "Phonetic and speaker variations in automatic emotion classification," in Interspeech, 2008, pp. 617-620.
16. Linguistic Data Consortium, "Emotional prosody speech and transcripts," LDC Catalog No.: LDC2002S28, University of Pennsylvania.
17. F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and B. Weiss, "A Database of German Emotional Speech," in Interspeech, 2005, pp. 1-4.
18. J. Odell, D. Ollason, P. Woodland, S. Young, and J. Jansen, The HTK Book. Cambridge University Press, 2002.
19. P. Boersma and D. Weenink, "Praat, a system for doing phonetics by computer," Glot International, pp. 341-345, 2001.
20. 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.
21. S. Yacoub, S. Simske, X. Lin, and J. Burns, "Recognition of emotions in interactive voice response systems," Proceedings of Eurospeech, pp. 729-732, 2003.
22. A. Jain and D. Zongker, "Feature selection: Evaluation, application, and small sample performance," IEEE Trans. on PAMI, vol. 19, no. 2, pp. 153-158, 1997.