Multistream recognition of dialogue acts in meetings

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

Volumn 4299 LNCS, Issue , 2006, Pages 178-189

  Dielmann, Alfred ^a   Renals, Steve ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION APPROACH; DIALOGUE ACTS; DYNAMIC BAYESIAN NETWORK; EXTENSIBLE SYSTEMS; GRAPHICAL MODEL; JOINT SEGMENTATION; LANGUAGE MODEL; MULTI-STREAM; PROSODIC FEATURES; RECOGNITION PERFORMANCE;

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; GRAPHIC METHODS; INFERENCE ENGINES; INTERACTIVE COMPUTER SYSTEMS; LEARNING SYSTEMS; USER INTERFACES;

SPEECH RECOGNITION;

EID: 74049148317     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11965152_16     Document Type: Conference Paper

References (18)

1. J. Ang, Y. Liu, and E. Shriberg. Automatic dialog act segmentation and classification in multiparty meetings. Proc. of the IEEE ICASSP, March 2005.
2. E. Shriberg, R. Dhillon, S. Bhagat, J. Ang, and H. Carvey. The ICSI meeting recorder dialog act (MRDA) corpus. Proc. HLT-NAACL SIGDIAL Workshop, April-May 2004.
3. A. Stolcke, K. Ries, N. Coccaro, E. Shriberg, D. Jurafsky, P. Taylor, R. Martin, C. Van Ess-Dykema, and M. Meteer. Dialogue act modeling for automatic tagging and recognition of conversational speech. Computational Linguistics, (26):339-373, 2000.
4. M. Nagata and T. Morimoto. An experimental statistical dialogue model to predict the speech act type of the next utterance. Proc. of the International Symposium on Spoken Dialogue, pages 83-86, November 1993.
5. J. Bilmes and K. Kirchhoff. Factored language models and generalized parallel backoff. Proceedings of HLT/NAACL 2003, May 2003.
6. E. Shriberg, R. Bates, P. Taylor, A. Stolcke, D. Jurafsky, K. Ries, N. Coccaro, R. Martin, M. Meteer, and C. Van Ess-Dykema. Can prosody aid the automatic classification of dialog acts in conversational speech? Language and Speech, (41):439-487, 1998.
7. H. Hastie, M. Poesio, and S. Isard. Automatically predicting dialogue structure using prosodic features. Speech Communication, (36):63-79, 2002.
8. M. Zimmermann, Y. Liu, E. Shriberg, and A. Stolcke. Toward joint segmentation and classification of dialog acts in multiparty meetings. Proc. Multimodal Interaction and Related Machine Learning Algorithms Workshop (MLMI-05), 2006.
9. G. Ji and J. Bilmes. Dialog act tagging using graphical models. Proc. of the IEEE ICASSP, March 2005.
10. A. Venkataraman, L. Ferrer, A. Stolcke, and E. Shriberg. Training a prosody-based dialog act tagger from unlabeled data. Proc. of the IEEE ICASSP, April 2003.
11. A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters. The ICSI meeting corpus. Proc. IEEE ICASSP, April 2003.
12. T. Hain, M. Karafit, G. Garau, D. Moore, V. Wan, R. Ordelman, and S. Renals. Transcription of conference room meetings: an investigation. Proc. Interspeech 2005 - Eurospeech, Lisbon, September 2005.
13. K. Kirchhoff, J. Bilmes, J. Henderson, R. Schwartz, M. Noamany, P. Schone, G. Ji, S. Das, M. Egan, F. He, D. Vergyri, D. Liu, and N. Duta. Novel approaches to arabic speech recognition - final report from the jhu summer workshop 2002. Tech. Rep., John-Hopkins University, 2002.
14. A. Stolcke. SRILM an extensible language modeling toolkit. Proc. Int. Conf. on Spoken Language Processing, September 2002.
15. K. P. Murphy. Dynamic Bayesian networks: Representation, inference and learning. Ph.D. Thesis, UC Berkeley, Computer Science Division, July 2002.
16. J. Bilmes and G. Zweig. The Graphical Model ToolKit: an open source software system for speech and time-series processing. Proc. IEEE ICASSP, Jun. 2002.
17. J.A. Bilmes. Dynamic bayesian multinets. Proc. Int. Conf. on Uncertainty in Artificial Intelligence, 2000.
18. J. Carletta, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, W. Kraaij, M. Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, I. McCowan, W. Post, D. Reidsma, and P. Wellner. The AMI meeting corpus: A pre-announcement. Proc. Multi-modal Interaction and Related Machine Learning Algorithms Workshop (MLMI-05), 2006.