Privacy-Preserving Machine Learning for Speech Processing

Author:   Manas A Pathak
Publisher:   Springer New York
ISBN:  

9781283910484


Pages:   145
Publication Date:   01 January 2013
Format:   Electronic book text
Availability:   Available To Order   Availability explained
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Privacy-Preserving Machine Learning for Speech Processing


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Overview

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.

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Author:   Manas A Pathak
Publisher:   Springer New York
Imprint:   Springer New York
ISBN:  

9781283910484


ISBN 10:   1283910489
Pages:   145
Publication Date:   01 January 2013
Audience:   General/trade ,  General
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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