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Privacy-Preserving Machine Learning for Speech Processing

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Privacy-Preserving Machine Learning For Speech ProcessingISBN13:9781461446385ISBN10:1461446384Author: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:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2012-10-25Weight:0.8 lbsDimensions:0.6'' H x 9.2'' L x 6.2'' WNumber of Pages:142Language:English

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End Time: 2024-12-03T05:53:46.000Z

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Privacy-Preserving Machine Learning for Speech Processing

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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: Hardcover

Language: English

Publisher: Springer NY

Publication Year: 2012

Series: Springer Theses Ser.

Type: Textbook

Item Weight: 129.5 Oz

Number of Pages: Xviii, 142 Pages

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