Hybrid HMM-NN for speech recognition and prior class probabilities

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 5, Issue , 2002, Pages 2391-2395

  Albesano, D ^a   Gemello, R ^a   Mana, F ^a  

^a Loquendo   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPETITION; INFORMATION SCIENCE; ITERATIVE METHODS; PROBABILITY; REFINING; RESEARCH LABORATORIES; SPEECH;

ACOUSTIC MODEL; CLASS PROBABILITIES; PHONETICALLY BALANCED; PRIOR PROBABILITY; RECOGNITION ACCURACY; REFINING PROCESS; SPEECH MATERIALS; SPEECH RECOGNITION TECHNOLOGY;

SPEECH RECOGNITION;

EID: 84971667866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1201922     Document Type: Conference Paper

References (9)

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3. P. Haffner, M. Franzini and A. Waibel, "Integrating time alignment and neural networks for high performance continuous speech recognition", Proc. ICASSP 91, pp. 105-108.
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8. H.A. Bourlard, N. Morgan. "Links between Morkov models and multilayer perceptions". In Advances in Neural Information Processing Systems 1, volume 1, pages 502-510. Morgan Kaufmann, 1989.
9. R.P. Lippmann, M.D. Richard. "Neural Network Classifiers estimate Bayesian a posteriori probabilities". Neural Computation, 3 (4):461-483, 1991