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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