The INTERSPEECH 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism

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

Volumn , Issue , 2013, Pages 148-152

  Schuller, Björn ^a,b,c   Steidl, Stefan ^d   Batliner, Anton ^c   Vinciarelli, Alessandro ^e,f   Scherer, Klaus ^a   Ringeval, Fabien ^g   Chetouani, Mohamed ^h   Weninger, Felix ^c   Eyben, Florian ^c   Marchi, Erik ^c   Mortillaro, Marcello ^a   Salamin, Hugues ^e   Polychroniou, Anna ^e   Valente, Fabio ^f   Kim, Samuel ^f  

^a UNIVERSITY OF GENEVA   (Switzerland)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^d UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^e UNIVERSITY OF GLASGOW   (United Kingdom)

^f IDIAP RESEARCH INSTITUTE   (Switzerland)

^g UNIVERSITY OF FRIBOURG   (Switzerland)

^h UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Autism; Challenge; Computational paralinguistics; Conflict; Emotion; Social signals

Indexed keywords

LINGUISTICS;

AUTISM; CHALLENGE; CONFLICT; EMOTION; PARALINGUISTICS; SOCIAL SIGNALS;

DISEASES;

EID: 84906269266     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. B. Schuller, A. Batliner, S. Steidl, and D. Seppi, "Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge, " Speech Communication, vol. 53, no. 9/10, pp. 1062-1087, 2011.
2. B. Schuller, S. Steidl, A. Batliner, F. Burkhardt, L. Devillers, C. Müller, and S. Narayanan, "Paralinguistics in Speech and Language - State-of-the-Art and the Challenge, " Computer Speech and Language, Special Issue on Paralinguistics in Naturalistic Speech and Language, vol. 27, no. 1, pp. 4-39, January 2013.
3. B. Schuller, S. Steidl, A. Batliner, F. Schiel, J. Krajewski, F. Weninger, and F. Eyben, "Medium-Term Speaker States - A Review on Intoxication, Sleepiness and the First Challenge, " Computer Speech and Language, Special Issue on Broadening the View on Speaker Analysis, 2013, 14 pages.
4. B. Schuller, S. Steidl, A. Batliner, E. N̈oth, A. Vinciarelli, F. Burkhardt, R. van Son, F. Weninger, F. Eyben, T. Bocklet, G. Mohammadi, and B. Weiss, "The INTERSPEECH 2012 Speaker Trait Challenge, " in Proc. Interspeech 2012. Portland, OR: ISCA, 2012, 4 pages.
5. M. Przybocki and A. Martin, "NIST Speaker Recognition Evaluation Chronicles, " in Proc. Odyssey 2004, The Speaker and Language Recognition Workshop, Toledo, Spain, 2004, pp. 12-22.
6. J. Downie, A. Ehmann, M. Bay, and M. Jones, "The Music Information Retrieval Evaluation eXchange: Some Observations and Insights, " in Advances in Music Information Retrieval, W. Zbigniew and A. Wieczorkowska, Eds. Springer, 2010, pp. 93-115.
7. T. Mandl, "Recent developments in the evaluation of information retrieval systems: Moving towards diversity and practical relevance, " Informatica, vol. 32, pp. 27-38, 2008.
8. B. Schuller, "The Computational Paralinguistics Challenge, " IEEE Signal Processing Magazine, vol. 29, no. 4, pp. 97-101, July 2012.
9. A. Vinciarelli, M. Pantic, and H. Bourlard, "Social signal processing: Survey of an emerging domain, " Image and Vision Computing, vol. 27, pp. 1743-1759, 2009.
10. W.-M. Roth and K. Tobin, "Solidarity and conflict: Aligned and misaligned prosody as a transactional resource in intraand intercultural communication involving power differences, " Cultural Studies of Science Education, vol. 5, p. 807, December 2010.
11. J. McCann and S. Peppe, "Prosody in autism spectrum disorders: A critical review, " International Journal of Language and Communication Disorder, vol. 38, pp. 325-350, October-December 2003.
12. J. van Santen, E. Prudhommeaux, L. Black, and M. Mitchell, "Computational Prosodic Markers for Autism, " Autism, vol. 14, pp. 215-236, 2010.
13. D. Bone, M. P. Black, C.-C. Lee, M. E. Williams, P. Levitt, S. Lee, and S. S. Narayanan, "Spontaneous-Speech Acoustic-Prosodic Features of Children with Autism and the Interacting Psychologist, " in Proc. Interspeech, Sep. 2012.
14. A. Batliner, K. Fischer, R. Huber, J. Spilker, and E. Nöth, "Desperately Seeking Emotions: Actors, Wizards, and Human Beings, " in Proc. ISCA Workshop on Speech and Emotion, Newcastle, Northern Ireland, 2000, pp. 195-200.
15. T. Vogt and E. André, "Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition, " in Proc. International Conference on Multimedia and Expo (ICME), Amsterdam, The Netherlands, 2005, pp. 474-477.
16. B. Schuller and A. Batliner, Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing. Wiley, 2013, to appear.
17. J. Bachorowski, M. Smoski, and M. Owren, "The acoustic features of human laughter, " Journal of the Acoustical Society of America, vol. 110, pp. 1581-1597, 2001.
18. J. Vettin and D. Todt, "Laughter in Conversation: Features of Occurrence and Acoustic Structure, " Journal of Nonverbal Behavior, vol. 28, no. 2, pp. 93-115, January 2004.
19. H. Tanaka and N. Campbell, "Acoustic Features of Four Types of Laughter in Natural Conversational Speech, " in Proc. 17th International Congress of Phonetic Sciences (ICPhS), Hong Kong, 2011, pp. 1958-1961.
20. H. Clark and J. Fox Tree, "Using "uh" and "um" in spontaneous speaking, " Cognition, vol. 84, no. 1, pp. 73-111, 2002.
21. A. Vinciarelli, H. Salamin, A. Polychroniou, G. Mohammadi, and A. Origlia, "From nonverbal cues to perception: Personality and social attractiveness, " Cognitive Behavioural Systems, pp. 60-72, 2012.
22. S. Young, G. Evermann, M. Gales, T. Hain, D. Kershaw, X. Liu, G. Moore, J. Odell, D. Ollason, D. Povey, V. Valtchev, and P.Woodland, The HTK book (v3.4). Cambridge University Press, 2006.
23. S. Kim, M. Filippone, F. Valente, and A. Vinciarelli, "Predicting the conflict level in television political debates: An approach based on crowdsourcing, nonverbal communication and gaussian processes, " in Proc. of ACM International Conference on Multimedia. Nara, Japan: ACM, 2012, pp. 793-796.
24. S. Meignier and T. Merlin, "LIUM SpkDiarization: An open source toolkit for diarization, " in Proc. CMU SPUD Workshop, Dallas, TX, USA, 2010.
25. T. Bänziger, M. Mortillaro, and K. Scherer, "Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception, " Emotion, vol. 12, pp. 1161-1179, 2012.
26. F. Ringeval, J. Demouy, G. Szasźak, M. Chetouani, L. Robel, J. Xavier, D. Cohen, and M. Plaza, "Automatic intonation recognition for the prosodic assessment of language impaired children, " IEEE Transactions on Audio, Speech & Language Processing, vol. 19, pp. 1328-1342, 2011.
27. F. Eyben, M. Wöllmer, and B. Schuller, "openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor, " in Proc. ACM Multimedia. Florence, Italy: ACM, 2010, pp. 1459-1462.
28. I. H. Witten and E. Frank, Data mining: Practical machine learning tools and techniques, 2nd Edition. San Francisco: Morgan Kaufmann, 2005.
29. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. Witten, "The WEKA Data Mining Software: An Update, " SIGKDD Explorations, vol. 11, 2009.