Large vocabulary word recognition using context-dependent allophonic hidden Markov models
- 31 October 1990
- journal article
- Published by Elsevier in Computer Speech & Language
- Vol. 4 (4) , 345-357
- https://doi.org/10.1016/0885-2308(90)90015-x
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- BYBLOS: The BBN continuous speech recognition systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Modeling microsegments of stop consonants in a hidden Markov model based word recognizerThe Journal of the Acoustical Society of America, 1990
- Use of vowel duration information in a large vocabulary word recognizerThe Journal of the Acoustical Society of America, 1989
- On large-vocabulary speaker-independent continuous speech recognitionSpeech Communication, 1988
- Fast search strategy in a large vocabulary word recognizerThe Journal of the Acoustical Society of America, 1988
- An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech RecognitionBell System Technical Journal, 1983
- A Maximum Likelihood Approach to Continuous Speech RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- Maximum likelihood estimation for multivariate observations of Markov sourcesIEEE Transactions on Information Theory, 1982
- Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentencesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- Growth transformations for functions on manifoldsPacific Journal of Mathematics, 1968