We 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.

Neural Networks and Speech Processing (The Springer International Series in Engineering and Computer Science, 130)

Computers & Technology

Morgan, David P.

Scofield, Christopher L.

Certification

Springer

A comprehensive guide to the golden age of railroading.

Steam's Finest Hour

Kalmbach Publishing Company

This book is a style guide for telephony dialogues. We consider it to be the most thorough, practical, step-by-step guide ever written about speech recognition, by experts who have been designing and developing successful applications for years. Contents include how to: craft effective prompts, predict and manage social user behaviors, reduce the application to a set of repeatable speech behaviors, keep a consistent "look and feel" to the interface, approach the problem of application "personality", prevent and recover from errors, and much more. This book is for designers,developers, project managers, marketing managers, information systems managers, call center managers and anyone else involved with the implementation and management of "self service" information delivery systems.

How to Build a Speech Recognition Application

Balentine, Bruce

Enterprise Integration Group Inc

Although this style guide has stood up fairly well over the two and a half years since it was first published, the voice user interface subject area has continued to expand and mature. In this edition we have taken more time to address voice portals and we have added an appendix on selecting and training "Voice Talent." It has become obvious over the past few years that selecting the talent for the application can have as much impact on the end user as the design itself. Furthermore, the application designer and the talent must work together to create a satisfying user experience. 
We have also rewritten and expanded on Chapter 11, "Usability Testing and Performance Reporting." Most of the new material summarizes our experiences since the first edition was published. In addition, we have added a major section to Chapter 8 on "Challenges in Implementing Natural Language Systems"-new material that has been compiled since the first edition. We have also updated the yes-no discussion in Section 6.3 with a description of some recently-proven methods for handling mixed-initiative replies. Other improvements in this edition include updated dialogue examples, more copious cross references, and improvements to the index and glossary. 
Since this book was published, many speech vendors and application developers have conducted formal studies and/or focus groups to learn more about design decisions and to provide guidelines for future voice user interface development. In all of the studies we are aware of, our empirical observations have been validated. Hence none of the guidelines in the first edition have been overturned or found to be in error. In several cases, we have upgraded our guidelines from "Good Practice" to "Recommended" or to "Required" based on these results. 
Finally, we tried not to make any structural changes to this text. None of the section numbers have been changed except in Chapter 11, Appendix A, and the beginning of Chapter 9. So if people on your design team have copies of both the first and second editions, you should be able to cross reference them easily.

How to Build a Speech Recognition Application: Second Edition: A Style Guide for Telephony Dialogues

Computer Science

See the best price to sell, buy, or rent books by Morgan, David P.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Morgan, David P.

See the best price to sell, buy, or rent books by Morgan, David P.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Neural Networks and Speech Processing (The Springer International Series in Engineering and Computer Science, 130)

Steam's Finest Hour

How to Build a Speech Recognition Application

How to Build a Speech Recognition Application: Second Edition: A Style Guide for Telephony Dialogues