Dialog act classification using acoustic and discourse information of map task data

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 1472-1479

  Julia, Fatema N ^b   Iftekharuddin, Khan M ^a  

^a University of Memphis   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; BRAIN; CLASSIFIERS; FUSION REACTIONS; HIDDEN MARKOV MODELS; LEARNING SYSTEMS; MARKOV PROCESSES; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

ACCURACY RATES; ACOUSTIC FEATURES; ACOUSTIC INFORMATIONS; CLASSIFIER FUSIONS; CROSS VALIDATIONS; DIALOG ACTS; DISCOURSE INFORMATIONS; MAP TASKS; PRECISION AND RECALLS; SUPPORT VECTORS;

FEATURE EXTRACTION;

EID: 56349125316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4633991     Document Type: Conference Paper

References (21)

1. D.K. Meyer and J.C Turner, "Discovering emotion in classroom motivation research", Educational Psychologist, 37(2), 107-114, 2002.
2. R. Snow, L. Corno and D. Jackson, "Individual, differences in affective and cognitive function.", Handbook of educational psychology, 1996.
3. T. Johnstone, R Banse, KR Scherer, "Acoustic profiles in prototypical vocal expressions of emotion". Proceedings of the XIIIth International Congress of Phonetic, 1995.
4. S. Werner, E. Keller, "Prosodic Aspects of Speech", in E.Keller (ed), Fundamentals of Speech Synthesis and Speech Recognition: Basic Concepts, State of the Art, and Future Challenges, Chichester: John Wiley, pp.,23-40, 1994.
5. C.Lee, and S. Narayanan, "Toward detecting emotions in spoken dialogs". IEEE (vol.13) transaction on speech and audio processing, 2005.
6. D. Surendran, G. Levow, "Dialog Act Tagging with Support Vector Machines and Hidden Markov Models", Proceedings of Interspeech, 2005.
7. E. Shriberg, R. Bates, A. Stolcke, P. Taylor, D. Jurafsky, K. Ries, N. Coccaro, R., MarieMeteer, and C. Ess-Dykema, "Can prosody aid the automatic classification of dialog acts in conversational speech?", Language and Speech, 1998.
8. V. Petrushin. (1999), "Emotion in speech: recognition and application to call centers", Proceedings of Conference on Artificial Neural Networks in Engineering, 1999.
9. M. E. Hoque, M. Yeasin, and M. M. Louwerse, Robust recognition of emotion from speech. In Gratch, J., Young, M., Aylett, R., Ballin, D., & Olivier, P. (Eds.), Proceedings of the 6th International Conference in Intelligent Virtual Agents (pp. 42-53). New York, Springer, 2006.
10. J. Robson and J. MackenzieBeck, "Hearing smiles - perceptual, acoustic and production aspects of labial spreading", ICPh, San Francisco, USA, pp. 219-222, 1999.
11. O. Kwon, K. Chan, J. Hao, Te-Won Lee, "Emotion Recognition by Speech. Signals", Eurospeech Geneva, 2003.
12. N. Webb, M. Hepple, and Y. Wilks, "Dialog act classification based on ultra utterance features", Proceedings of the AAAI Workshop on Spoken Language, 2005.
13. R. Serafin and B. Eugenio, "FLSA: Extending Latent Semantic Analysis With features for dialog act classification", ACL-04 42nd Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference Barcelona, Spain, 21-26 July, 2004.
14. S. Bangalore, G. Fabbrizo, and A. Stent, "Towards Learning to converse: structuring task oriented human-human dialogs", Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the ACL, pages 201-208, Sydney, July 2006.
15. S. Bangalore, G. Fabbrizo, and A. Stent, "Towards Learning to converse: structuring task oriented human-human dialogs", Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the ACL, pages 201-208, Sydney, July 2006.
16. M. M. Louwerse, and S. A. Crossley, Dialog act classification using n-gram algorithms. In Proceedings of the 19th International Florida Artificial Intelligence Research Society, 2006.
17. HCRC Map Task Corpus. Philadelphia: Linguistic Data Consortium, 1993. http://www.hcrc.ed.ac.uk/maptask/interface/expl.html.
18. http://www.comp.leeds.ac.uk/amalgam/tagsets/brown.html. [19] N. Reithinger, and M. Kiesen, "Dialogue act classification using language models", Proceedings of EuroSpeech, 97, 1997.
19. B. Boser, I. Guyon, and V. Vapnik. "A training algorithm for optimal margin classifiers", In Proceedings of the Fifth Annual Workshop on Computational Learning Theory, ACM Press, pp. 144-152, 1992.
20. C. Cortes and V. Vapnik. Support-vector network. Machine Learning, 20:273-297, 1995.
21. P. Tailor, S. King, S. Isard, and H. Wright, "Intonation and dialog context as constraints for speech recognition", Language and Speech, vol. 4.1, pp, 489-508, 1998.