Issues in the development of a stochastic speech understanding system

7th International Conference on Spoken Language Processing, ICSLP 2002

Volumn , Issue , 2002, Pages 365-368

  Lefevre, F ^a   Bonneau Maynard, H ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS; STOCHASTIC SYSTEMS;

DEVELOPMENT COSTS; ESTIMATE MODEL; HUMAN EXPERTISE; SEGMENTED DATA; SEMANTIC ANNOTATIONS; SPEECH UNDERSTANDING; STOCHASTIC TECHNIQUES; TRAINING CORPUS;

STOCHASTIC MODELS;

EID: 85009237859     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. R. Pieraccini and E. Levin. A learning approach to natural language understanding. NATO ASI Series Springer-Verlag, 1993.
2. W. Minker, S. Bennacef, and J.-L. Gauvain. A stochastic case frame approach for natural language understanding. In ICSLP, 1996.
3. R. Schwartz et al. Hidden understanding models for statistical sentence understanding. In ICASSP, Munich, 1997.
4. H. Bonneau-Maynard and F. Lefevre. Investigating stochastic speech understanding. In IEEEASRU, 2001.
5. L. Lamel, S. Rosset, J. L. Gauvain, and S. Bennacef. The limsi arise system. Speech Communication, 31, 2000.
6. H. Bonneau-Maynard and L. Devillers. A framework for evaluating contextual understanding. In ICSLP, 2000.
7. P. Boda. From stochastic speech recognition to understanding: an hmm-based approach. In IEEE ASRU, pages 57-64, 1997.