Scientific and Technical Aerospace Reports
Author:
Publisher:
Published: 1994
Total Pages: 584
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author:
Publisher:
Published: 1994
Total Pages: 584
ISBN-13:
DOWNLOAD EBOOKAuthor: Alex Waibel
Publisher: Morgan Kaufmann
Published: 1988
Total Pages: 228
ISBN-13: 9780934613705
DOWNLOAD EBOOKWaibel, (computer science, Carnegie-Mellon U.), focuses on the prosodic cues (e.g., pitch, intensity, rhythm, temporal relationships, stress) that are critical to human speech perception. No index. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Renato DeMori
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 630
ISBN-13: 3642824471
DOWNLOAD EBOOKProceedings of the NATO Advanced Study Institute on New Systems and Architecture for Automatic Speech Recognition and Synthesis, held at Bonas, Gers, France, 2-14 July 1984
Author:
Publisher:
Published: 1981
Total Pages: 206
ISBN-13:
DOWNLOAD EBOOKAuthor: J. S. Perkell
Publisher: Psychology Press
Published: 2014-01-14
Total Pages: 699
ISBN-13: 1317768280
DOWNLOAD EBOOKFirst published in 1986. The important implications of speech variability for the future of speech related technology, in combination with the multifaceted debate about invariance among speech scientists, make this a most appropriate time to evaluate the state our knowledge in this area. On October 8-10, 1983 researchers from the fields of production, perception, acoustics, pathology, psychology, linguistics, language acquisition, synthesis and recognition met at a. symposium at M.I.T. on invariance and variability of speech processes. This volume is the Proceedings of the symposium. Each chapter of the book consists of a focus paper followed by some comments.
Author: David P. Morgan
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 402
ISBN-13: 1461539501
DOWNLOAD EBOOKWe would like to take this opportunity to thank all of those individ uals who helped us assemble this text, including the people of Lockheed Sanders and Nestor, Inc., whose encouragement and support were greatly appreciated. In addition, we would like to thank the members of the Lab oratory for Engineering Man-Machine Systems (LEMS) and the Center for Neural Science at Brown University for their frequent and helpful discussions on a number of topics discussed in this text. Although we both attended Brown from 1983 to 1985, and had offices in the same building, it is surprising that we did not meet until 1988. We also wish to thank Kluwer Academic Publishers for their profes sionalism and patience, and the reviewers for their constructive criticism. Thanks to John McCarthy for performing the final proof, and to John Adcock, Chip Bachmann, Deborah Farrow, Nathan Intrator, Michael Perrone, Ed Real, Lance Riek and Paul Zemany for their comments and assistance. We would also like to thank Khrisna Nathan, our most unbi ased and critical reviewer, for his suggestions for improving the content and accuracy of this text. A special thanks goes to Steve Hoffman, who was instrumental in helping us perform the experiments described in Chapter 9.
Author: Yves Chauvin
Publisher: Psychology Press
Published: 2013-02-01
Total Pages: 576
ISBN-13: 1134775814
DOWNLOAD EBOOKComposed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts of Parallel Distributed Processing with backpropagation learning. Finally, the third section shows how these principles can be applied to a number of different fields related to the cognitive sciences, including control, speech recognition, robotics, image processing, and cognitive psychology. The volume is designed to provide both a solid theoretical foundation and a set of examples that show the versatility of the concepts. Useful to experts in the field, it should also be most helpful to students seeking to understand the basic principles of connectionist learning and to engineers wanting to add neural networks in general -- and backpropagation in particular -- to their set of problem-solving methods.
Author: Alexander Waibel
Publisher: Elsevier
Published: 1990-12-25
Total Pages: 640
ISBN-13: 0080515843
DOWNLOAD EBOOKAfter 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: Institute of Electrical and Electronics Engineers. Region 10. Conference
Publisher:
Published: 1996
Total Pages: 522
ISBN-13: 9780780336803
DOWNLOAD EBOOK