Discriminative Adaptive Training and Bayesian Inference for Speech Recognition

Discriminative Adaptive Training and Bayesian Inference for Speech Recognition (2009)

Cached

Download Links

by Chandra Kant Raut

Citations:

BibTeX

@MISC{Raut09discriminativeadaptive,
    author = {Chandra Kant Raut},
    title = {Discriminative Adaptive Training and Bayesian Inference for Speech Recognition},
    year = {2009}
}

Bookmark

OpenURL

Abstract

Citations

6236	Maximum likelihood from incomplete data via EM algorithm - Dempster, Laird, et al. - 1977
2109	Introduction to Statistical Pattern Recognition - Fukunaga - 1990
1485	Pattern Classification - Duda, Hart, et al. - 2001
1180	Fundamentals of speech recognition - Rabiner - 1993
874	Error bounds for convolutional codes and an asymptotically optimum decoding algorithm - Viterbi - 1967
762	Information Theory, Inference and Learning Algorithms Cambridge - MacKay - 2003
655	An introduction to variational methods for graphical models”. Machine Learning 37 - Jordan, Ghahramani, et al. - 1999
631	J: An Empirical Study of Smoothing Techniques for Language Modeling - SF, Goodman - 1996
588	Monte Carlo statistical methods - Robert, Casella - 2004
550	Comparison of parametric representations of monosyllabic word recognition in continuously spoken sentences - Davis, Mermelstein - 1980
540	Class-based n-gram models of natural language - Brown, Pietra, et al. - 1992
512	Optimal Statistical Decisions - DeGroot - 1970
448	Probabilistic inference using Markov chain Monte Carlo methods - Neal - 1993
440	Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models - Leggetter, Woodland - 1995
394	KB: Dynamic Bayesian networks: representation, inference and learning - Murphy
372	Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains - Gauvain, Lee - 1994
286	The population frequencies of species and the estimation of population parameters - Good - 1953
286	Interpolated estimation of Markov source parameters from sparse data - Jelinek, Mercer - 1980
275	Maximum likelihood linear transformations for HMMbased speech recognition - Gales - 1998
239	A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER - Fiscus - 1997
210	Statistical Pattern Recognition - Webb - 1999
195	The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression - Witten, Bell - 1991
185	A family of algorithms for approximate Bayesian inference - Minka - 2001
181	Variational algorithms for approximate Bayesian inference - Beal - 2003
173	An inequality with applications to statistical estimation for probabilistic functions of a Markov process and to models for ecology - Baum, Eagon - 1967
156	Some statistical issues in the comparison of speech recognition algorithms - Gillick, Cox - 1989
153	Accurate approximations for posterior moments and marginal densities - Tierney, Kadane - 1986
146	Semi-tied covariance matrices for hidden Markov models - Gales - 1999
139	Tree-based state tying for high accuracy acoustic modelling - Young, Odell, et al. - 1994
133	Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification - Atal - 1974
131	A variational Bayesian framework for graphical models - Attias - 2003
129	Introduction to Monte Carlo Methods - MacKay - 1998
125	Minimum Phone Error and I-smoothing for Improved Discriminative Training - Povey, Woodland
123	R.: Maximum mutual information estimation of hidden Markov model parameters for speech recognition - Bahl, Brown, et al. - 2000
115	Finding consensus in speech recognition; word error minimization and other applications of confusion networks - Mangu, Brill, et al. - 2000
106	A compact model for speaker adaptive training - Anastasakos, McDonough, et al.
102	Minimum classification error rate methods for speech recognition - Juang, Hou, et al. - 1997
93	The Use of Context in Large Vocabulary Speech Recognition - Odell - 1995
89	Propagation algorithms for variational Bayesian learning - Ghahramani, Beal
89	Finding Consensus AmongWords: Lattice-Based Word Error Minimization - Mangu, Brill, et al.
88	Entropy-based pruning of backoff language models - Stolcke - 1998
82	A fast sequential decoding algorithm using a stack - Jelinek - 1969
80	Mean and Variance Adaptation within the mllr Framework.” Computer Speech and Language 10 - Gales, Woodland - 1996
80	Bayesian parameter estimation via variational methods - Jaakkola, Jordan - 2000
77	The N-best algorithm: an efficient and exact procedure for finding the N most likely sentence hypotheses - Schwartz, Chow - 1990
77	Large scale discriminative training of hidden Markov models for speech recognition - Woodland, Povey - 2002
71	Discriminative Training for Large Vocabulary Speech Recognition - Povey - 2004
68	Speaker normalization using efficient frequency warping procedures - Lee, Rose - 1996
68	Ensemble learning for hidden Markov models - Mackay - 1997
66	Investigation of Silicon-Auditory Models and Generalization of Linear Discriminant Analysis for Improved Speech Recognition - Kumar - 1997