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:176 - 6 self

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45 Connectionist Probability Estimation in HMM Speech Recognition – Steve Renals, Nelson Morgan - 1992
2 A survey on automatic speech recognition with an illustrative example on continuous speech recognition – Chin-hui Lee, Biing-hwang Juang - 1996
165 An Application of Recurrent Nets to Phone Probability Estimation – Tony Robinson - 1994
8 Phonetic Context-Dependency In a Hybrid ANN/HMM Speech Recognition System – Daniel Jeremy Kershaw, St. John's College - 1997
3117 A tutorial on hidden markov models and selected applications in speech recognition – Lawrence R. Rabiner - 1989
4 Hidden semi-Markov models – Shun-zheng Yu - 2010
3 Data Selection and Model Combination in Connectionist Speech Recognition – Gary David Cook - 1997
93 Hidden Markov processes – Yariv Ephraim, Neri Merhav - 2002
47 Support vector machines for speech recognition – Aravind Ganapathiraju, Jonathan Hamaker, Joseph Picone - 1998
27 Statistical Trajectory Models for Phonetic Recognition – William David Goldenthal - 1994
21 What HMMs can do – Jeff Bilmes - 2002
21 Probabilistic-trajectory Segmental HMMs. Computer Speech and Language – Wendy J. Holmes, Martin J. Russell - 1999
39 Lexical Modeling in a Speaker Independent Speech Understanding System – Charles Clayton Wooters - 1993
14 Discriminative Training of Hidden Markov Models – Sadik Kapadia - 1998
2 Segmental Hidden Markov Models with Random Effects for Waveform Modeling – Seyoung Kim, Padhraic Smyth, Sam Roweis
1 Efficient high-order hidden Markov modelling – Johan A. Du Preez, Promoters Dr. E. Barnard, Dr. D. M. Weber - 1998
49 Graphical models and automatic speech recognition – Jeffrey A. Bilmes - 2003
Extending the standard Hidden Markov Models to include local time correlation in speech data - A summary of literature review – K. K. Chin - 1999
19 Using Self-Organizing Maps and Learning Vector Quantization for Mixture Density Hidden Markov Models – Mikko Kurimo - 1997