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Mastering Voice Interfaces

Overview of attention for book
Cover of 'Mastering Voice Interfaces'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Say Hello to Voice Systems
  3. Altmetric Badge
    Chapter 2 Keeping Voice in Mind
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    Chapter 3 Running a Voice App—and Noticing Issues
  5. Altmetric Badge
    Chapter 4 Define Through Discovery: Building What, How, and Why for Whom
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    Chapter 5 From Discovery to UX and UI: Tools of Voice Design
  7. Altmetric Badge
    Chapter 6 Applying Human “Rules of Dialog” to Reach Conversation Resolution
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    Chapter 7 Resolving Incomplete Requests Through Disambiguation
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    Chapter 8 Conveying Reassurance with Confidence and Confirmation
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    Chapter 9 Helping Users Succeed Through Consistency
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    Chapter 10 Creating Robust Coverage for Speech-to-Text Resolution
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    Chapter 11 Reaching Understanding
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    Chapter 12 Applying Accuracy Strategies to Avoid Misunderstanding
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    Chapter 13 Choosing Strategies to Recover from Miscommunication
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    Chapter 14 Using Context and Data to Create Smarter Conversations
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    Chapter 15 Creating Secure Personalized Experiences
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    Chapter 16 Testing and Measuring Voice System Performance
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    Chapter 17 Tuning and Deploying Voice Systems
Attention for Chapter 17: Tuning and Deploying Voice Systems
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Readers on

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2 Mendeley
Summary
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Chapter title
Tuning and Deploying Voice Systems
Chapter number 17
Book title
Mastering Voice Interfaces
Published by
Apress, Berkeley, CA, January 2021
DOI 10.1007/978-1-4842-7005-9_17
Book ISBNs
978-1-4842-7004-2, 978-1-4842-7005-9
Authors

Thymé-Gobbel, Ann, Jankowski, Charles

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Lecturer 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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