Overview
- Provides practical guidance when designing speech-based systems
- Includes case studies which examine real-life (good and bad) examples
- Discusses the design of speech-based devices - what information should be communicated, and how
- Explains how information should be presented as speech – what rhythm, pausing and intonation should be used
- Considers current research directions in speech technology, probable future developments and problems that remain unsolved
Part of the book series: Practitioner Series (PRACT.SER.)
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Table of contents (8 chapters)
Keywords
About this book
Developments in technology have made it possible for speech output to be used in place of the more usual visual interface in both domestic and commercial devices. Speech can be used in situations where visual attention is occupied, such as when driving a car, or where a task is complex and traditional visual interfaces are not effective, such as programming a video recorder. Speech can also be employed in specialist adaptations for visually impaired people.
However, the use of speech has not been universally successful, possibly because the speech interaction is poorly designed. Speech is fundamentally different from text, and a lot of the problems may arise due to simplified text-to-speech conversion. Design of Speech-based Devices considers the problems associated with speech interaction, and offers practical solutions.
Authors and Affiliations
Bibliographic Information
Book Title: Design of Speech-based Devices
Book Subtitle: A Practical Guide
Authors: Ian Pitt, Alistair Edwards
Series Title: Practitioner Series
DOI: https://doi.org/10.1007/978-1-4471-0093-5
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2003
Hardcover ISBN: 978-1-85233-436-9Published: 30 October 2002
Softcover ISBN: 978-1-4471-1089-7Published: 03 October 2012
eBook ISBN: 978-1-4471-0093-5Published: 06 December 2012
Series ISSN: 1439-9245
Edition Number: 1
Number of Pages: XI, 179
Topics: User Interfaces and Human Computer Interaction, Pattern Recognition, Special Purpose and Application-Based Systems, Natural Language Processing (NLP), Artificial Intelligence
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications