Volume 17, Number 1, January 2003
Volume 17, Numbers 2-3, April - July 2003 New Computational Paradigms for Acoustic Modeling in Speech Recognition
- Martin J. Russell, Jeff A. Bilmes:
Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition.
- Fabrice Lefevre:
Non-parametric probability estimation for HMM-based automatic speech recognition.
- James R. Glass:
A probabilistic framework for segment-based speech recognition.
- Korin Richmond, Simon King, Paul Taylor:
Modelling the uncertainty in recovering articulation from acoustics.
- Geoffrey Zweig:
Bayesian network structures and inference techniques for automatic speech recognition.
- Katrin Weber, Shajith Ikbal, Samy Bengio, Hervé Bourlard:
Robust speech recognition and feature extraction using HMM2.
- Jeff A. Bilmes:
Buried Markov models: a graphical-modeling approach to automatic speech recognition.
- Harriet J. Nock, Mari Ostendorf:
Parameter reduction schemes for loosely coupled HMMs.
- Khalid Daoudi, Dominique Fohr, Christophe Antoine:
Dynamic Bayesian networks for multi-band automatic speech recognition.
- Ji Ming, F. Jack Smith:
Speech recognition with unknown partial feature corruption - a review of the union model.
Volume 17, Number 4, October 2003
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