Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Privacy-Preserving Machine Learning For Speech ProcessingISBN13:9781489991201ISBN10:1489991204Author:Pathak, Manas A. (Author)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 Binding:Paperback, PaperbackPublisher:SPRINGER NATUREPublication Date:2014-11-09Weight:0.51 lbsDimensions:0.34'' H x 9.21'' L x 6.14'' WNumber of Pages:142Language:English
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Book Title: Privacy-Preserving Machine Learning For Speech Processing
Item Length: 9.3in
Item Width: 6.1in
Author: Manas A. Pathak
Publication Name: Privacy-Preserving Machine Learning for Speech Processing
Format: Trade Paperback
Language: English
Publisher: Springer NY
Publication Year: 2014
Series: Springer Theses Ser.
Type: Textbook
Item Weight: 89.1 Oz
Number of Pages: Xviii, 142 Pages
