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ORCIDComputer Speech & Language, Volume 11
Volume 11, Number 1, January 1997
- Jianying Hu, William Turin, Michael K. Brown:
Language modeling using stochastic automata with variable length contexts. 1-16 - Mari Ostendorf, Harald Singer:
HMM topology design using maximum likelihood successive state splitting. 17-41 - Stefan Ortmanns, Hermann Ney, Xavier L. Aubert:
A word graph algorithm for large vocabulary continuous speech recognition. 43-72 - Steve J. Young, Martine Adda-Decker, Xavier L. Aubert, Christian Dugast, Jean-Luc Gauvain, Dan J. Kershaw, Lori Lamel, David A. van Leeuwen, David Pye, Anthony J. Robinson, Herman J. M. Steeneken, Philip C. Woodland:
Multilingual large vocabulary speech recognition: the European SQALE project. 73-89
Volume 11, Number 2, April 1997
- Michael S. Brandstein, Harvey F. Silverman:
A practical methodology for speech source localization with microphone arrays. 91-126 - Jun-ichi Takahashi, Shigeki Sagayama:
Vector-field-smoothed Bayesian learning for fast and incremental speaker/telephone-channel adaptation. 127-146 - Mazin G. Rahim, Chin-Hui Lee:
String-based minimum verification error (SB-MVE) training for speech recognition. 147-160
Volume 11, Number 3, July 1997
- Ara Samouelian:
Frame-level phoneme classification using inductive inference. 161-186 - S. M. Ahadi, Philip C. Woodland:
Combined Bayesian and predictive techniques for rapid speaker adaptation of continuous density hidden Markov models. 187-206 - J. T. Foote, Steve J. Young, Gareth J. F. Jones
, Karen Sparck Jones:
Unconstrained keyword spotting using phone lattices with application to spoken document retrieval. 207-224 - Erwin W. Drenth, Bernhard Rüber:
Context-dependent probability adaptation in speech understanding. 225-252 - R. Singh, K. Davis, P. V. S. Rao:
Hidden Markov model-based speech recognition with intermediate wavelet transform domains. 253-273
Volume 11, Number 4, October 1997
- Philip N. Garner:
On topic identification and dialogue move recognition. 275-306 - Jun Gao, XiXian Chen:
Probabilistic word classification based on a context-sensitive binary tree method. 307-320 - Mikko Kurimo:
Training mixture density HMMs with SOM and LVQ. 321-343
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