Emotional vocal expressions recognition using the COST 2102 Italian database of emotional speech

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5967 LNCS, Issue , 2010, Pages 255-267

  Atassi, Hicham ^a,b   Riviello, Maria Teresa ^c   Smékal, Zdeněk ^b   Hussain, Amir ^a   Esposito, Anna ^c  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^c SECOND UNIVERSITY OF NAPLES   (Italy)

Author keywords

Emotion recognition; High level features; Italian database; Spectral features; Speech

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; INTERACTIVE COMPUTER SYSTEMS; SPEECH; SPEECH ANALYSIS;

EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL; HIERARCHICAL STRUCTURES; HIGH-LEVEL FEATURES; SEQUENTIAL FLOATING FORWARD SELECTION (SFFS); SPECTRAL FEATURE; SUBJECTIVE EVALUATIONS; VOICE QUALITY FEATURES;

SPEECH RECOGNITION;

EID: 77952024666     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12397-9_21     Document Type: Conference Paper

References (38)

1. Christian, J., Deeming, A.: Affective Human-Robotic Interaction. Affect and Emotion in Human-Computer Interaction: From Theory to Applications, Christian Peter, Russell Beale (2008)
2. Sony AIBO Europe, Sony Entertainment, http://www.sonydigital-link.com/ AIBO/
3. Petrushin, V.: Emotion in Speech: Recognition and Application to Call Centers. In: Proceedings of the Conference on Artificial Neural Networks in Engineering, pp. 7-10 (1999)
4. Van Bezooijen, R.: The Characteristics and Recognisability of Vocal Expression of Emotions. Drodrecht, The Netherlands, Foris (1984)
5. Rahurkar, M., Hansen, J.H.L.: Frequency Band Analysis for Stress Detection Using Teager energy Operator Based Feature. In: Proc. Int. Conf. Spoken Language Processing (ICSLP 2002), vol. 3, pp. 2021-2024 (2002)
6. Navas, E., Hernáez, L.I.: An Objective and Subjective Study of the Role of Semantics and Prosodic Features in Building Corpora for Emotional TTS. IEEE Transactions on Audio, Speech, and Language Processing 14, 1117-1127 (2006) (Pubitemid 46547609)
7. Atassi, H., Esposito, A.: A Speaker Independent Approach to the Classification of Emotional Vocal Expressions. In: Proc. of 20th Int. Conf. Tools with Artificial Intelligence, ICTAI 2008, pp. 147-151. IEEE Computer Society, Dayton (2008)
8. Pudil, P., Ferri, F., Novovicova, J., Kittler, J.: Floating search method for feature selection with non monotonic criterion functions. Pattern Recognition 2, 279-283 (1994)
9. Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B.: A Database of German Emotional Speech. In: Proceedings of Interspeech, pp. 1517-1520 (2005)
10. Ekman, P.: Facial expression of emotion: New findings, new questions. Psychological Science 3, 34-38 (1992)
11. Oatley, K., Jenkins, J.M.: Understanding emotions. Blackwell, Oxford (1996)
12. Banse, R., Scherer, K.: Acoustic profiles in vocal emotion expression. Journal of Personality & Social Psychology 70(3), 614-636 (1996) (Pubitemid 126420699)
13. Scherer, K.R.: Vocal communication of emotion: A review of research paradigms. Speech Communication 40, 227-256 (2003)
14. Scherer, K.R., Banse, R., Wallbott, H.G.: Emotion inferences from vocal expression correlate across languages and cultures. Journal of Cross-Cultural Psychology, 76-92 (2001) (Pubitemid 33205656)
15. Scherer, K.R., Banse, R., Wallbott, H.G., Goldbeck, T.: Vocal cues in emotion encoding and decoding. Motivation and Emotion 15, 123-148 (1991)
16. Scherer, K.R.: Vocal correlates of emotional arousal and affective disturbance. In: Wagner, H., Manstead, A. (eds.) Handbook of social Psychophysiology, pp. 165-197. Wiley, New York (1989)
17. Esposito, A., Riviello, M.T., Di Maio, G.: The COST 2102 Italian Audio and Video Emotional Database. In: To be published in Proceedings of WIRN 2009, Vietri sul Mare, May 28-30, IOS press, Amsterdam (2009)
18. Esposito, A., Riviello, M.T., Bourbakis, N.: Cultural Specific Effects on the Recognition of Basic Emotions: A Study on Italian Subjects. In: Holzinger, A. (ed.) USAB 2009. LNCS, vol. 5889, pp. 135-148. Springer, Heidelberg (2009)
19. Schuller, B., Rigoll, G., Lang, M.: Hidden Markov Model-Based Speech Emotion Recognition. In: Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2003, Hong Kong, China, vol. 2 (2003)
20. Nogueiras, A., Marino, J.B., Moreno, A., Bonafonte, A.: Speech emotion recognition using hidden Markov models. In: Proc. European Conf. Speech Communication and Technology (Eurospeech 2001), Denmark (2001)
21. Ververidis, D., Kotropoulos, C.: Emotional speech classification using Gaussian mixture models and the sequential floating forward selection algorithm. In: Proc. Int. Conf. Multimedia and Expo, ICME 2005 (2005)
22. Ververidis, D., Kotropoulos, C.: Automatic Speech Classification to five emotional states based on gender information. In: Proc. 12th European Signal Processing Conf., Vienna, pp. 341-344 (2004)
23. Pao, T., Chen, Y., Yeh, J.: Emotion Recognition from Mandarin Speech Signals. In: International Symposium on Spoken Language Processing, Chinese (2004)
24. Lugger, M., Yang, B.: The Relevance of Voice Quality Features in Speaker Independent Emotion Recognition. In: Proceedings of ICASSP, Honolulu, Hawaii (2007)
25. Nwe, T.L., Foo, S.W., De Silva, L.C.: Speech emotion recognition using hidden Markov models. Speech Communication 41, 603-623 (2003)
26. Hermansky, H.: Perceptual Linear Predictive (PLP) Analysis of Speech. Journal of Acoustic Socienty (4), 1738-1753 (1990)
27. Apolloni, B., Aversano, G., Esposito, A.: Preprocessing and Classification of Emotional Features in Speech Sentences. In: Kosarev, Y. (ed.) Proc. of International Workshop on Speech and Computer, SPIIRAS, pp. 49-52 (2000)
28. Busso, C., Lee, S., Narayanan, S.S.: Using Neutral Speech Models for Emotional Speech Analysis. In: Interspeech- Eurospeech, Antwerp, Belgium, pp. 2225-2228 (2007)
29. Stejskal, V., Smekal, Z., Esposito, A., Bourbakis, N.: The Significance of Empty Speech Pauses: Cognitive and Algorithmic Issues. In: Mele, F., Ramella, G., Santillo, S., Ventriglia, F. (eds.) BVAI 2007. LNCS, vol. 4729, pp. 1-13. Springer, Heidelberg (2007)
30. Esposito, A., Aversano, G.: Text Independent Methods for Speech Segmentation. In: Chollet, G., Esposito, A., Faúndez-Zanuy, M., Marinaro, M. (eds.) Nonlinear Speech Modeling and Applications. LNCS (LNAI), vol. 3445, pp. 261-290. Springer, Heidelberg (2005)
31. Duda, R., Hart, P., Stork, D.: Pattern Classification, 2nd edn. Wiley, Chichester (2003)
32. Scherer, S., Oubbati, M., Schwenker, F., Palm, G.: Real-time emotion recognition using echo state model. In: André, E., Dybkjær, L., Minker, W., Neumann, H., Pieraccini, R., Weber, M. (eds.) PIT 2008. LNCS (LNAI), vol. 5078, pp. 200-204. Springer, Heidelberg (2008)
33. Lee, C., Narayanan, S.: Emotion recognition using a data-driven fuzzy inference system. In: Proceedings of Eurospeech, pp. 157-160 (2003)
34. Schuller, B., Rigoll, G., Lang, M.: Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004), vol. 1, pp. 557-560 (2004)
35. Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley, Hoboken (2004)
36. Faundez-Zanuy, M.: Data Fusion at Different Levels. In: Multimodal Signals: Cognitive and Algorithmic Issues: COST Action 2102 and euCognition International School Vietri sul Mare, Italy, pp. 21-26 (2008)
37. Beerends, J.G., Rix, A.W., Hollier, M.P., Hekstra, A.P.: Perceptual evaluation of speech quality (PESQ) The new ITU standard for end-to-end speech quality assessment, Part I - Time-Delay Compensation. J. Audio Eng. Soc. 50(10), 755-764 (2002)
38. Esposito, A., Riviello, T.: The New Italian Audio and Video Emotional Database. In: Esposito, A., et al. (eds.) Development of Multimodal Interfaces: Active Listening and Synchrony. LNCS, vol. 5967, pp. 255-267. Springer, Heidelberg (2010)