Privacy-Preserving Machine Learning for Speech Processing (Hardcover, 2013 ed.)

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."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Theses
Release date:	October 2012
First published:	2013
Authors:	Manas A. Pathak
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Hardcover
Pages:	142
Edition:	2013 ed.
ISBN-13:	978-1-4614-4638-5
Categories:	Books > Professional & Technical > Other technologies > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Audio processing > Speech recognition & synthesis
LSN:	1-4614-4638-4
Barcode:	9781461446385

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