Privacy-Preserving Machine Learning for Speech Processing

Language: English

Published by Springer, 2014

1489991204 / 9781489991201

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781489991201

Title
Privacy-Preserving Machine Learning for Speech Processing
Author
Manas A. Pathak
Publisher
Springer
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1489991204
ISBN 13
9781489991201
Item weight
254 grams
Dimensions
235x155x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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