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Factorial Hidden Markov Models For Speech Recognition
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Book Synopsis Factorial Hidden Markov Models for Speech Recognition by : Beth Logan
Download or read book Factorial Hidden Markov Models for Speech Recognition written by Beth Logan and published by . This book was released on 1997 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Application of Hidden Markov Models in Speech Recognition by : Mark Gales
Download or read book The Application of Hidden Markov Models in Speech Recognition written by Mark Gales and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.
Book Synopsis Hidden Markov Models for Speech Recognition by : X. D. Huang
Download or read book Hidden Markov Models for Speech Recognition written by X. D. Huang and published by . This book was released on 1990-01-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Yves Normandin Publisher :National Library of Canada = Bibliothèque nationale du Canada ISBN 13 : Total Pages :180 pages Book Rating :4.:/5 (318 download)
Book Synopsis Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem by : Yves Normandin
Download or read book Hidden Markov Models, Maximum Mutual Information Estimation, and the Speech Recognition Problem written by Yves Normandin and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1991 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Hidden Markov Models by : Przemyslaw Dymarski
Download or read book Hidden Markov Models written by Przemyslaw Dymarski and published by BoD – Books on Demand. This book was released on 2011-04-19 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov Models (HMMs), although known for decades, have made a big career nowadays and are still in state of development. This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering. I hope that the reader will find this book useful and helpful for their own research.
Book Synopsis Investigation of Hidden Markov Models for Speech Recognition by : Tham Dinh Le
Download or read book Investigation of Hidden Markov Models for Speech Recognition written by Tham Dinh Le and published by . This book was released on 1991 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Step Forward in Multi-granular Automatic Speech Recognition by : Gianpaolo Coro
Download or read book A Step Forward in Multi-granular Automatic Speech Recognition written by Gianpaolo Coro and published by . This book was released on 2013-08-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Implementation of Hidden Markov Models for Speech Recognition by : Chee Kean Teh
Download or read book Implementation of Hidden Markov Models for Speech Recognition written by Chee Kean Teh and published by . This book was released on 1991 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Study of the Hidden Markov Model in Speech Recognition by : Joseph Y. Fang
Download or read book Study of the Hidden Markov Model in Speech Recognition written by Joseph Y. Fang and published by . This book was released on 1988 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Markov Models for Pattern Recognition by : Gernot A. Fink
Download or read book Markov Models for Pattern Recognition written by Gernot A. Fink and published by Springer Science & Business Media. This book was released on 2014-01-14 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.
Book Synopsis 2-D Hidden Markov Models for Speech Recognition by : Jiayu Li
Download or read book 2-D Hidden Markov Models for Speech Recognition written by Jiayu Li and published by . This book was released on 1998 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Natural Statistical Models for Automatic Speech Recognition by : Jeff Bilmes
Download or read book Natural Statistical Models for Automatic Speech Recognition written by Jeff Bilmes and published by . This book was released on 1999 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Semi-contiuous Hidden Markov Models for Speech Recognition by : Huang, X
Download or read book Semi-contiuous Hidden Markov Models for Speech Recognition written by Huang, X and published by . This book was released on 1989 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speech Recognition Based on Hidden Markov Models by : International Business Machines Corporation. Research Division
Download or read book Speech Recognition Based on Hidden Markov Models written by International Business Machines Corporation. Research Division and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Semi-continuous Hidden Markov Models for Speech Recognition by : Xuedong Huang
Download or read book Semi-continuous Hidden Markov Models for Speech Recognition written by Xuedong Huang and published by . This book was released on 1989 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Combining Neural Networks and Hidden Markov Models for Speech Recognition by : Francis M. Sharp
Download or read book Combining Neural Networks and Hidden Markov Models for Speech Recognition written by Francis M. Sharp and published by . This book was released on 1991 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Markov Models for Handwriting Recognition by : Thomas Plötz
Download or read book Markov Models for Handwriting Recognition written by Thomas Plötz and published by Springer Science & Business Media. This book was released on 2012-02-02 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden Markov models and Markov-chain or n-gram models. First, the text introduces the typical architecture of a Markov model-based handwriting recognition system, and familiarizes the reader with the essential theoretical concepts behind Markovian models. Then, the text reviews proposed solutions in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.