[PDF] The Application Of Hidden Markov Models In Speech Recognition eBook

Author : Mark Gales
Publisher : Now Publishers Inc
Page : 125 pages
File Size : 31,9 MB
Release : 2008
Category : Automatic speech recognition
ISBN : 1601981201

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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.

Author : Horst Bunke
Publisher : World Scientific
Page : 246 pages
File Size : 20,34 MB
Release : 2001-06-04
Category : Computers
ISBN : 9814491470

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Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval.This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).

Author : Gernot A. Fink
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 47,74 MB
Release : 2014-01-14
Category : Computers
ISBN : 1447163087

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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.

Author : Nizar Bouguila
Publisher : Springer Nature
Page : 303 pages
File Size : 30,44 MB
Release : 2022-05-19
Category : Technology & Engineering
ISBN : 3030991423

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This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a specific task or application, such as estimation or selection, etc. The goal of this volume is to summarize the recent advances and modern approaches related to these problems. The book also reports advances on classic but difficult problems in HMMs such as inference and feature selection and describes real-world applications of HMMs from several domains. The book pertains to researchers and graduate students, who will gain a clear view of recent developments related to HMMs and their applications.

Author : Alexander Waibel
Publisher : Elsevier
Page : 640 pages
File Size : 31,5 MB
Release : 1990-12-25
Category : Computers
ISBN : 0080515843

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After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years. The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.

Author : Przemyslaw Dymarski
Publisher : BoD – Books on Demand
Page : 329 pages
File Size : 37,91 MB
Release : 2011-04-19
Category : Computers
ISBN : 9533072083

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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.