Voice Recognition Books - Page 5

Spoken Dialogue Technology

Michael F. McTear

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Editorial Review:

Spoken Dialogue Technology provides extensive coverage of spoken dialogue systems, ranging from the theoretical underpinnings of the study of dialogue through to a detailed look at a number of well-established methods and tools for developing spoken dialogue systems. The book enables students and practitioners to design and test dialogue systems using several available development environments and languages, including the CSLU toolkit, VoiceXML, SALT, and XHTML+ voice. This practical orientation is usually available otherwise only in reference manuals supplied with software development kits. The latest research in spoken dialogue systems is presented along with extensive coverage of the most relevant theoretical issues and a critical evaluation of current research prototypes. A dedicated web site containing supplementary materials, code, links to resources will enable readers to develop and test their own systems (). Previously such materials have been difficult to track down, available only on a range of disparate web sites and this web site provides a unique and useful reference source which will prove invaluable.

Evolving Connectionist Systems: The Knowledge Engineering Approach (Evolving Connectionist Systems)

Nikola Kasabov

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Editorial Review:

This second edition of Evolving Connectionist Systems presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems, as well as new trends including computational neuro-genetic modelling and quantum information processing related to evolving systems. New applications, such as autonomous robots, adaptive artificial life systems and adaptive decision support systems are also covered.

The models and techniques used are connectionist-based and, where possible, existing connectionist models have been used and extended. Divided into four parts the book opens with evolving processes in nature; looks at methods and techniques that can be used in evolving connectionist systems; then covers various applications in bioinformatics and brain studies; finishing with applications for intelligent machines.

Aimed at all those interested in developing adaptive models and systems to solve challenging real world problems in computer science and engineering.

Springer Handbook of Speech Processing (Springer Handbook of)

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Customer Reviews:
Total reviews: 1 Average rating: 5.0 of 5

Editorial Review:

From common consumer products such as cell phones and MP3 players to more sophisticated projects such as human-machine interfaces and responsive robots, speech technologies are now everywhere. Many think that it is just a matter of time before more applications of the science of speech become inescapable in our daily life. This handbook is meant to play a fundamental role for sustainable progress in speech research and development. Springer Handbook of Speech Processing targets three categories of readers: graduate students, professors and active researchers in academia and research labs, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. The handbook could also be used as a sourcebook for one or more graduate courses on signal processing for speech and different aspects of speech processing and applications. A quickly accessible source of application-oriented, authoritative and comprehensive information about these technologies, it combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Pattern Recognition in Speech and Language Processing (Electrical Engineering & Applied Signal Processing Series)

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Editorial Review:

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field.Pattern Recognition in Speech and Language Processing offers a systematic, up-to-date presentation of these recent developments. It begins with the fundamentals and recent theoretical advances in pattern recognition, with emphasis on classifier design criteria and optimization procedures. The focus then shifts to the application of these techniques to speech processing, with chapters exploring advances in applying pattern recognition to real speech and audio processing systems. The final section of the book examines topics related to pattern recognition in language processing: topics that represent promising new trends with direct impact on information processing systems for the Web, broadcast news, and other content-rich information resources.Each self-contained chapter includes figures, tables, diagrams, and references. The collective effort of experts at the forefront of the field, Pattern Recognition in Speech and Language Processing offers in-depth, insightful discussions on new developments and contains a wealth of information integral to the further development of human-machine communications.

Artificial Life Possibilities: A Star Trek Perspective (Game Development Series)

Penny Baillie-de Byl

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Editorial Review:

The Star Trek series has inspired not only armchair fans, but also the researchers who are trying to better the human race, developing the devices of the future, and struggling to conquer space travel. The Star Trek series was also the inspiration for this book, which examines the artificial intelligences portrayed in the shows.

The question we’ll be asking throughout this book is, "How do we get from where we are now to the point where we are able to create truly exceptional artificial beings such as Holodeck characters, Lieutenant Commander Data, and the Emergency Medical Hologram?" In order to answer this, we’ll examine where we are right now and extrapolate where we are heading. Throughout the book a passion for Star Trek is integrated with academic research from the AI, A-Life, and Robotics domains, which are presented in an easy to understand way—bypassing the technobabble and mind-blowing mathematics.

The book examines the characteristics and capabilities of Star Trek’s artificial life forms and compares them with current technologies in an attempt to predict if we’ll ever create such advanced beings. It is written to provide both the serious Trekker and the occasional voyeur with a handbook of the current techniques and devices available in the fields of artificial intelligence, robotics, and artificial life. It examines the development of artificial life forms such as Data and the EMH from the bottom up, including their physical creation programming, and metaphysical aspects such as personality and emotions to determine if such beings might some day be a reality.

If you have ever wanted to know what a positronic brain is or how to write a personality subroutine then this is the book for you!

Spoken Word Recognition (Cognition Special Issue)

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Editorial Review:

Spoken Word Recognition covers the entire range of processes involved in recognizing spoken words - both in and out of context. It brings together a number of essays dealing with important theoretical questions raised by the study of spoken word recognition - among them, how do we understand fluent speech as efficiently and effortlessly as we do? What are the mental processes and representations involved when we recognize spoken words? How do these differ from those involved in reading written words? What information is stored in our mental lexicon and how is it structured? What do linguistic and computational theories tell us about these psychological processes and representations?

The multidisciplinary presentation of work by phoneticians, linguists, psychologists, and computer scientists reflects the growing interest in spoken word recognition from a number of different perspectives. It is a natural consequence of the mediating role that lexical representations and processes play in language understanding, linking sound with meaning.

Following the editors' introduction, the contributions and their authors are: Acoustic-Phonetic Representation in Word Recognition (David B. Pisoni and Paul A. Luce). Phonological Parsing and Lexical Retrieval (Kenneth W. Church). Parallel Processing in Spoken Word Recognition (William D. Marslen-Wilson). A Reader's View of Listening (Dianne C. Bradley and Kenneth I. Forster). Prosodic Structure and Spoken Word Recognition (Francois Grosjean and James Paul Gee). Structure in Auditory Word Recognition (Lyn Frazier). The Mental Representation of the Meaning of Words (P. N. Johnson-Laird). Context Effects in Lexical Processing (Michael K. Tanenhaus and Margery M. Lucas).

Uli H. Frauenfelder is a researcher with the Max-Planck-Institut für Psycholinguistik, and Lorraine Komisarjevsky Tyler is a professor in the Department of Experimental Psychology at the University of Cambridge. Spoken Word Recognition is in a series that is derived from special issues of Cognition: International Journal of Cognitive Science, edited by Jacques Mehler. A Bradford Book.

Computer Speech Technology (Artech House Signal Processing Library)

Robert D. Rodman

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Customer Reviews:
Total reviews: 2 Average rating: 3.0 of 5

Computer Speech Technology - A great way to start 4 out of 5 stars.
5 of 5 people found this review helpful.

If you are not into FFT's and HMM's, but are interested in a slightly less mathematical explanation of Automatic Speech Recognition, this is for you. Interesting, and an easy read, watch out though, the next book you get will go math on you fast. This is a great book for non-engineers. You will eveltually out-grow its simple explanations - but that does not make a poor source. The book does not talk down to the novice - in the finiest tradtion of Carl Popper! - Well Done

Not worth the money 2 out of 5 stars.
0 of 0 people found this review helpful.

I tried to use this book for a survey course on computer speech technology, but I couldn't rely on it for much. My students cursed me for making them waste their money on this book. It doesn't talk about the material at a sufficiently high level or with enough detail to satisfy even non-mathematical college students seeking a general overview. One wonders who the intended audience is? The preface says it is professionals in the field of speech (other than engineers), and I can testify it certainly doesn't work for students. The chapters that do go over some of the mathematical underpinnings of speech processing do it in the most unsuccessful of non-mathematical ways, which is to say equations are presented but are not properly explained for those who don't already know what they are about. There is really very little meat here to chew, on a subject that deserves more. Stick to the engineering books if you actually want to know anything about this subject. There is still no alternative but to learn all the math.

Editorial Review:

...provides an understandable, non-technical overview of the computer processing of speech...covers speech recognition, speech synthesis, language identification, lip synchronization, and co-channel separation.

Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler (Studies in Computational Linguistics (Stanford, Calif.).)

Manny Rayner, Beth Ann Hockey, Pierrette Bouillon

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Editorial Review:

Most computer programs that analyze spoken dialogue use a spoken command grammar, which limits what the user can say when talking to the system. To make this process simpler, more automated, and effective for command grammars even at initial stages of a project, the Regulus grammar compiler was developed by a consortium of experts—including NASA scientists. This book presents a complete description of both the practical and theoretical aspects of Regulus and will be extremely helpful for students and scholars working in computational linguistics as well as software engineering.

Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series)

S.Y. Kung, M.W. Mak, S.H. Lin

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Editorial Review:

*A breakthrough approach to improving biometrics performance*Constructing robust information processing systems for face and voice recognition*Supporting high-performance data fusion in multimodal systems*Algorithms, implementation techniques, and application examples Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems.Coverage includes: *How machine learning approaches differ from conventional template matching*Theoretical pillars of machine learning for complex pattern recognition and classification*Expectation-maximization (EM) algorithms and support vector machines (SVM)*Multi-layer learning models and back-propagation (BP) algorithms*Probabilistic decision-based neural networks (PDNNs) for face biometrics*Flexible structural frameworks for incorporating machine learning subsystems in biometric applications*Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks*Multi-cue data fusion techniques that integrate face and voice recognition*Application case studies