Computer Speech & Language

Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition
pp. 107-112(6)
Authors: Russell M.J.; Bilmes J.A.

Non-parametric probability estimation for HMM-based automatic speech recognition
pp. 113-136(24)
Author: Lefevre F.

A probabilistic framework for segment-based speech recognition
pp. 137-152(16)
Author: Glass J.R.

Modelling the uncertainty in recovering articulation from acoustics
pp. 153-172(20)
Authors: Richmond K.; King S.; Taylor P.

Bayesian network structures and inference techniques for automatic speech recognition
pp. 173-193(21)
Author: Zweig G.

Robust speech recognition and feature extraction using HMM2
pp. 195-211(17)
Authors: Weber K.; Ikbal S.; Bengio S.; Bourlard H.

Buried Markov models: a graphical-modeling approach to automatic speech recognition
pp. 213-231(19)
Author: Bilmes J.A.

Parameter reduction schemes for loosely coupled HMMs
pp. 233-262(30)
Authors: Nock H.J.; Ostendorf M.

Dynamic Bayesian networks for multi-band automatic speech recognition
pp. 263-285(23)
Authors: Daoudi K.; Fohr D.; Antoine C.

Speech recognition with unknown partial feature corruption - a review of the union model
pp. 287-305(19)
Authors: Ming J.; Jack Smith F.