Description: Privacy-preserving Machine Learning for Speech Processing, Paperback by Pathak, Manas A., ISBN 1489991204, ISBN-13 9781489991201, Like New Used, Free P&P in the UK 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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Book Title: Privacy-preserving Machine Learning for Speech Processing
Number of Pages: 142 Pages
Language: English
Publication Name: Privacy-Preserving Machine Learning for Speech Processing
Publisher: Springer-Verlag New York Inc.
Publication Year: 2014
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 2526 g
Type: Textbook
Author: Manas A. Pathak
Subject Area: Information Science, Electrical Engineering
Series: Springer Theses
Item Width: 155 mm
Format: Paperback
