| 107 | -- | 112 | Martin J. Russell, Jeff A. Bilmes. Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition |
| 113 | -- | 136 | Fabrice Lefevre. Non-parametric probability estimation for HMM-based automatic speech recognition |
| 137 | -- | 152 | James R. Glass. A probabilistic framework for segment-based speech recognition |
| 153 | -- | 172 | Korin Richmond, Simon King, Paul Taylor. Modelling the uncertainty in recovering articulation from acoustics |
| 173 | -- | 193 | Geoffrey Zweig. Bayesian network structures and inference techniques for automatic speech recognition |
| 195 | -- | 211 | Katrin Weber, Shajith Ikbal, Samy Bengio, Hervé Bourlard. Robust speech recognition and feature extraction using HMM2 |
| 213 | -- | 231 | Jeff A. Bilmes. Buried Markov models: a graphical-modeling approach to automatic speech recognition |
| 233 | -- | 262 | Harriet J. Nock, Mari Ostendorf. Parameter reduction schemes for loosely coupled HMMs |
| 263 | -- | 285 | Khalid Daoudi, Dominique Fohr, Christophe Antoine. Dynamic Bayesian networks for multi-band automatic speech recognition |
| 287 | -- | 305 | Ji Ming, F. Jack Smith. Speech recognition with unknown partial feature corruption - a review of the union model |