Affect recognition in real life scenarios

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

Volumn 6456 LNCS, Issue , 2011, Pages 429-435

  Kostoulas, Theodoros ^a   Ganchev, Todor ^a   Fakotakis, Nikos ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

affect recognition; emotion recognition; real world data

Indexed keywords

AFFECT RECOGNITION; AFFECTIVE STATE; EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL; HUMAN-COMPUTER; MONITORING APPLICATIONS; PARAMETERIZATION TECHNIQUES; PROMETHEUS; REAL WORLD DATA; REAL-WORLD;

HUMAN COMPUTER INTERACTION; INTERACTIVE COMPUTER SYSTEMS; KNOWLEDGE MANAGEMENT; PATTERN RECOGNITION;

BEHAVIORAL RESEARCH;

EID: 79952017737     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-18184-9_37     Document Type: Conference Paper

References (19)

1. Clavel, C., Devillers, L., Richard, G., Vasilexcu, I., Ehrette, T.: Detection and analysis of abnormal situations through fear type acoustic manifestations. In: Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), vol. 4, pp. 21-24 (2007)
2. Ntalampiras, S., Potamitis, I., Fakotakis, N.: An adaptive framework for acoustic monitoring of potential hazards. EURASIP Journal on Audio, Speech, and Music Processing 2009, article ID: 594103 (2009)
3. Clavel, C., Vasilescu, I., Devillers, L., Richard, G., Ehrette, T.: Fear-type emotion recognition for future audio-based surveillance systems. Speech Communication 50(6), 487-503 (2008)
4. Schuller, B., Steidl, S., Batliner, A.: The Interspeech 2009 Emotion Challenge. In: Proc. of Interspeech 2009, ISCA, Brighton, UK, pp. 312-315 (2009)
5. Kockmann, M., Burget, L., Cernocky, J.: Brno University of Technology System for Interspeech 2009 Emotion Challenge. In: Proc. of Interspeech 2009, ISCA, Brighton, UK, pp. 348-351 (2009)
6. Steidl, S., Schuller, B., Seppi, D., Batliner, A.: The Hinterland of Emotions: Facing the Open-Microphone Challenge. In: Proc. of 4th International HUMAINE Association Conference on Affective Computing and Intelligent Interaction (ACII 2009), vol. I, pp. 690-697 (2009)
7. Callejas, Z., Lopez-Cozar, R.: Influence of contextual information in emotion annotation for spoken dialogue systems. Speech Communication, 416-433 (2008)
8. Seppi, D., Batliner, A., Schuller, B., Steidl, S., Vogt, T., Wagner, J., Devillers, L., Vidrascu, L., Amir, N., Aharonson, V.: Patterns, prototypes, performance: classifying emotional user states. In: Proc. of Interspeech 2008, pp. 601-604 (2008)
9. Steidl, S.: Automatic classification of emotion-related user states in spontaneous children's speech. In: Studien zur Mustererkennung, Bd, 28. Logos Verlag, Berlin (2009) ISBN 978-3-8325-2145-5
10. Batliner, A., Steidl, S., Hacker, C., Nöth, E.: Private emotions vs. social interaction - a data-driven approach towards analysing emotion in speech. In: User Modeling and User-Adpated Interaction (umuai), vol. 18(1-2), pp. 175-206 (2008)
11. Brendel, M., Zaccarelli, R., Devillers, L.: Building a system for emotions detection from speech to control an affective avatar. In: Proc. of LREC 2010, pp. 2205-2210 (2010)
12. Ntalampiras, S., Arsić, D., Stïormer, A., Ganchev, T., Potamitis, I., Fakotakis, N.: PROMETHEUS database: A multimodal corpus for research on modeling and interpreting human behavior. In: Proc. of the 16th International Conference on Digital Signal Processing (DSP 2009), Santorini, Greece (2009)
13. Ntalampiras, S., Ganchev, T., Potamitis, I., Fakotakis, N.: Heterogeneous sensor database in support of human behaviour analysis in unrestricted environments: The audio part. In: Valletta, Malta, Calzolari, N., et al. (eds.) Proc. of LREC 2010. ELRA, pp. 3006-3010 (2010) ISBN: 2-9517408-6-7
14. Eyben, F., Wollmer, M., Schuller, B.: openEAR - Introducing the Munich open-source emotion and affect recognition toolkit. In: Proc. of the 4th International HUMAINE Association Conference on Affective Computing and Intelligent Interaction 2009 (ACII 2009). IEEE, Amsterdam (2009)
15. Reynolds, D.A., Rose, R.C.: Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing 3, 72-83 (1995)
16. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. 39, 1-38 (1977)
17. Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker verification using adapted Gaussian mixture models. Digital Signal Processing 10, 19-41 (2000)
18. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., Taylor, J.G.: Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine 18(1), 32-80 (2001)
19. Eyben, F., Batliner, A., Schuller, B., Seppi, D., Steidl, S.: Cross-corpus classification of realistic emotions - some pilot experiments. In: Proc. 3rd International Workshop on Emotion (satellite of LREC), Valletta, Malta, pp. 77-82 (2010)