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Eskenazi, Maxine

Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment

Eskenazi, Maxine - Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment, ebook

105,50€

Ebook, ePUB with Adobe DRM
ISBN: 9781118541258
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Printing110 pages with an additional page accrued every 7 hours, capped at 110 pages
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Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data

Intended for those who want to get started in the domain and  learn how to set up a task, what interfaces are available, how to assess the work, etc. as well as for those who already have used crowdsourcing and want to create better tasks and obtain better assessments of the work of the crowd. It will include screenshots to show examples of good and poor interfaces; examples of case studies in speech processing tasks, going through the task creation process, reviewing options in the interface, in the choice of medium (MTurk or other) and explaining choices, etc.

  • Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data.
  • Addresses important aspects of this new technique that should be mastered before attempting a crowdsourcing application.
  • Offers speech researchers the hope that they can spend much less time dealing with the data gathering/annotation bottleneck, leaving them to focus on the scientific issues. 
  • Readers will directly benefit from the book’s successful examples of how crowd- sourcing was implemented for speech processing, discussions of interface and processing choices that worked and  choices that didn’t, and guidelines on how to play and record speech over the internet, how to design tasks, and how to assess workers.

Essential reading for researchers and practitioners in speech research groups involved in speech processing

Keywords: Audio & Speech Processing & Broadcasting

Author(s)
 
 
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2013
Language
en
Edition
1
Page amount
360 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (ePUB)
9781118541258
Printed ISBN
9781118358696

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