From HMM's to Segment Models: A Unified View of Stochastic Modeling for Speech Recognition (1996)

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by Mari Ostendorf , Vassilios V. Digalakis , Owen A. Kimball
Citations:234 - 8 self

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4379 A tutorial on hidden Markov models and selected applications in speech recognition – Lawrence R. Rabiner - 1989
762 Gradient-based learning applied to document recognition – Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - 1998
2558 Bagging Predictors – Leo Breiman, Leo Breiman - 1996
582 Solving multiclass learning problems via error-correcting output codes – Thomas G. Dietterich, Ghulum Bakiri - 1995
725 An introduction to variable and feature selection – Isabelle Guyon - 2003
504 L.: Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains – J L Gauvain, Chin-Hui - 1994
607 Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models – C. J. Leggetter, P. C. Woodland - 1995
594 A statistical approach to machine translation – Peter F. Brown, John Cocke, Stephen A. Della Pietra, Vincent J. Della Pietra, Fredrick Jelinek, John D. Lafferty, Robert L. Mercer, Paul S. Roossin - 1990
874 An Empirical Study of Smoothing Techniques for Language Modeling – Stanley F. Chen - 1998