Description: Crowdsourcing for Speech Processing by Maxine Eskenazi, Gina-Anne Levow, Helen Meng, Gabriel Parent, David Suendermann Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Intended for those who want to get started in the domain and learn how to set up a task, this book provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data. It addresses important aspects of this new technique that should be mastered before attempting a crowdsourcing application. Publisher Description 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 books successful examples of how crowd- sourcing was implemented for speech processing, discussions of interface and processing choices that worked and choices that didnt, 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 Author Biography Maxine Eskenazi, Carnegie Mellon University, USADr. Eskenazi is Principal Systems Scientist at the Language Technologies Institute, Carnegie Mellon University, USA. She has authored over 100 scientific papers in the areas of computer assisted language learning and speech and spoken dialog systems. Her work has produced such systems as the Lets Go spoken dialog system and the REAP vocabulary tutor. She is also the founder and CTO of the Carnegie Speech Company. Gina-Anne Levow, University of Washington, USADr. Levow is currently an Assistant Professor in the Department of Linguistics, University of Washington, USA. Prior to joining the faculty at the University of Washington, she served on the faculty at the University of Chicago in the Department of Computer Science and as a Research Fellow at the University of Manchester, UK. She served on the Editorial Board of Computational Linguistics and as Associate Editor of ACM Transactions on Asian Language Processing. Helen Meng, The Chinese University of Hong Kong, Hong KongDr. Meng is Founder and Director of the Human-Computer Communications Laboratory at The Chinese University of Hong Kong, and is also the Founder and Co-Director of the Microsoft-CUHK Joint Laboratory for Human-Centric Computing and Interface Technologies, which was conferred the national status of the Ministry of Education of China (MoE) Key Laboratory in 2008. Prof. Meng also served as an Associate Dean (Research) of the Faculty of Engineering from 2006 to 2010. She serves as Editor-in-Chief of the IEEE Transactions on Audio, Speech and Language Processing. Gabriel Parent, Amazon.com, USAGabriel Parent is a Software Development Engineer at Amazon.com working on solving natural language related problems. His main research focuses were human-computer interaction through spoken dialog systems and crowdsourcing. David Suendermann, Baden-Wuerttemberg Cooperative State University, GermanyDr. Sundermann is currently full Professor of Computer Science at the Baden-Wuerttemberg Cooperative State University, Stuttgart, Germany. He is also the Principal Speech Scientist of SpeechCycle, New York, USA which has been recognized by Deloitte as a "Technology Fast 500" company based on revenue growth. He has authored more than 70 publications and patents, including a book and six book chapters. Details ISBN 1118358694 ISBN-13 9781118358696 Title Crowdsourcing for Speech Processing Author Maxine Eskenazi, Gina-Anne Levow, Helen Meng, Gabriel Parent, David Suendermann Format Hardcover Year 2013 Pages 356 Edition 1st Publisher John Wiley & Sons Inc GE_Item_ID:137292784; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 124.89 USD
Location: Fairfield, Ohio
End Time: 2024-12-02T04:52:45.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
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Refund will be given as: Money Back
ISBN-13: 9781118358696
Book Title: Crowdsourcing for Speech Processing
Number of Pages: 356 Pages
Language: English
Publication Name: Crowdsourcing for Speech Processing : Applications to Data Collection, Transcription and Assessment
Publisher: Wiley & Sons, Incorporated, John
Subject: Databases / Data Mining, Electronics / General, Speech & Audio Processing, Social Aspects / Human-Computer Interaction
Publication Year: 2013
Item Height: 0.8 in
Type: Textbook
Item Weight: 24.1 Oz
Author: Helen MENG, Gabriel Parent, David Suendermann, Maxine Eskenazi, Gina-Anne Levow
Item Length: 9.9 in
Subject Area: Computers, Technology & Engineering
Item Width: 6.9 in
Format: Hardcover