Dynamic language modeling using Bayesian networks for spoken dialog systems

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 3030-3033

  Raux, Antoine ^a   Mehta, Neville ^b   Ramachandran, Deepak ^a   Gupta, Rakesh ^a  

^a Honda R&D Americas Inc   (United States)

^b OREGON STATE UNIVERSITY   (United States)

Author keywords

Language modeling; Speech recognition; Speech understanding; Spoken dialog systems

Indexed keywords

COMPUTATIONAL LINGUISTICS; KNOWLEDGE BASED SYSTEMS; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

DYNAMIC LANGUAGES; DYNAMIC UPDATE; LANGUAGE MODEL; LARGE CORPORA; SPEECH UNDERSTANDING; SPOKEN DIALOG SYSTEMS; STATE-DEPENDENT; STATISTICAL LANGUAGE MODELS; BAYESIA N NETWORKS; GOAL CONCEPT; SPOKEN DIALOGUE SYSTEM; STATISTICAL LANGUAGE MODELLING; USER GOALS;

BAYESIAN NETWORKS;

EID: 79959852675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Popovici, C. and Baggia, P., "Specialized Language Models Using Dialogue Predictions", Proc. ICASSP'97, Munich, Germany, 1997.
2. Xu, W. and Rudnicky, A., "Language Modeling for Dialog Systems", Proc. ICSLP 2000, Beijing, China, 2000.
3. Wessel, F. and Baader, A., "Robust Dialogue-State Dependent Language Modeling using Leaving-One-Out", Proc. ICASSP'99, Phoenix, AZ, USA, 1999.
4. Lane, I. R. and Kawahara, T. and Matsui, T. and Nakamura, S., "Dialogue Speech Recognition by Combining Hierarchical Topic Classification and Language Model Switching", IEICE Trans. Inf. Syst., E88-D:3, pp. 446-454, 2005.
5. Gildea, D. and Hofmann, T., "Topic-based language models using EM", Proc. 6th European Conference on Speech Communication and Technology(EUROSPEECH'99), Budapest, Hungary, 1999.
6. Solsona, R. A. and Fosler-Lussier, E. and Kuo, H.-K. J. and Potamianos, A. and Zitouni, I., "Adaptive Language Models for Spoken Dialogue Systems", Proc. ICASSP'02, Orlando, FL, USA, 2002.
7. Gruenstein, A. and Wang, C. and Seneff, S., "Context-Sensitive Statistical Language Modeling", Proc. Interspeech 2005, Lisbon, Portugal, 2005.
8. Wiggers, P. and Rothkrantz, L. J. M., "Improving speech recognition by utilizing domain knowledge and confidence measures", in Lecture Notes in Artificial Intelligence 2807: Text, Speech and Dialogues 2003.
9. Brown, P. F. and Della Pietra, V. J. and deSouza, P. V. and Mercer, R. L. "Class-based n-gram models of natural language." In Computational Linguistics 18(4), 1992, 467-479.
10. Raux, A. and Bohus, D. and Langner, B. and Black A. W. and Eskenazi, M., "Doing Research on a Deployed Spoken Dialogue System: One Year of Let's Go! Experience", Proc. Interspeech 2006, Pittsburgh, USA, 2006.
11. Ward, W. and Issar, S. "Recent improvements in the CMU spoken language understanding system.", Proc. ARPA Human Language Technology Workshop, pp. 213.216, 1994.
12. Stolcke, A. "SRILM an Extensible Language Modeling Toolkit.", Proc. ICSLP'02, Denver, CO, USA, 2002.
13. Thomson, B. and Young, S. "Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems.", Computer Speech and Language, 2009.
14. Sphinx 4, http://cmusphinx.sourceforge.net/sphinx4, 2010.
15. Pearl, J. Probabilistic Reasoning in Intelligent Systems, San Mateo: Morgan Kaufmann, 1988.
16. Intel, "Probabilistic Network Library", http://sourceforge.net/ projects/openpnl, 2010.