Privacy-Preserving Machine Learning for Speech Processing (Springer Theses)

by Manas A. Pathak

0 ratings • 0 reviews • 0 shelved
Book cover for Privacy-Preserving Machine Learning for Speech Processing

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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.
  • ISBN13 9781461446385
  • Publish Date 25 October 2012
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Edition 2013 ed.
  • Format Hardcover
  • Pages 142
  • Language English