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Privacy-Preserving Machine Learning for Speech Processing by Manas A. Pathak (En

Description: Privacy-Preserving Machine Learning for Speech Processing by Manas A. Pathak Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition. Publisher Description This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Author Manas A. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition.The author also introduces some of the tools from cryptography and machine learning and current techniques for improving the efficiency and scalability of the presented solutions. Experiments with prototype implementations of the solutions for execution time and accuracy on standardized speech datasets are also included in the text. Using the framework proposed may now make it possible for a surveillance agency to listen for a known terrorist without being able to hear conversation from non-targeted, innocent civilians. Author Biography Dr. Manas A. Pathak received the BTech degree in computer science from Visvesvaraya National Institute of Technology, Nagpur, India, in 2006, and the MS and PhD degrees from the Language Technologies Institute at Carnegie Mellon University (CMU) in 2009 and 2012 respectively. He is currently working as a research scientist at Adchemy, Inc. His research interests include intersection of data privacy, machine learning, speech processing. Details ISBN 1489991204 ISBN-13 9781489991201 Title Privacy-Preserving Machine Learning for Speech Processing Author Manas A. Pathak Format Paperback Year 2014 Pages 142 Publisher Springer-Verlag New York Inc. GE_Item_ID:144182600; 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. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Privacy-Preserving Machine Learning for Speech Processing by Manas A. Pathak (En

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Restocking Fee: No

Return shipping will be paid by: Buyer

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Refund will be given as: Money Back

ISBN-13: 9781489991201

Book Title: Privacy-Preserving Machine Learning for Speech Processing

Number of Pages: Xviii, 142 Pages

Publication Name: Privacy-Preserving Machine Learning for Speech Processing

Language: English

Publisher: Springer New York

Subject: Signals & Signal Processing, Security / General, Telecommunications, Databases / General, Speech & Audio Processing

Publication Year: 2014

Item Weight: 89.1 Oz

Type: Textbook

Item Length: 9.3 in

Subject Area: Computers, Technology & Engineering

Author: Manas A. Pathak

Item Width: 6.1 in

Series: Springer Theses Ser.

Format: Trade Paperback

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