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Privacy-Preserving Machine Learning for Speech Processing

  • Manas A. Pathak

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Manas A. Pathak
      Pages 3-6
    3. Manas A. Pathak
      Pages 7-18
    4. Manas A. Pathak
      Pages 19-45
  3. Privacy-Preserving Speaker Verification

  4. Privacy-Preserving Speaker Identification

  5. Privacy-Preserving Speech Recognition

    1. Front Matter
      Pages 97-97
    2. Manas A. Pathak
      Pages 99-102
    3. Manas A. Pathak
      Pages 103-109
  6. Conclusion

    1. Front Matter
      Pages 111-111
    2. Manas A. Pathak
      Pages 113-116
    3. Manas A. Pathak
      Pages 117-119
  7. Back Matter
    Pages 121-141

About this book

Introduction

This thesis discusses the privacy issues in speech-based applications, including biometric authentication, surveillance, and external speech processing services. Manas A. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification, and speech recognition.

The thesis introduces tools from cryptography and machine learning and current techniques for improving the efficiency and scalability of the presented solutions, as well as experiments with prototype implementations of the solutions for execution time and accuracy on standardized speech datasets. Using the framework proposed  may make it possible for a surveillance agency to listen for a known terrorist, without being able to hear conversation from non-targeted, innocent civilians.

Keywords

Homomorphic Encryption Locality Sensitive Hashing Secure Multiparty Computation Speaker Identification Speaker Verification Speech Recognition

Authors and affiliations

  • Manas A. Pathak
    • 1
  1. 1.Carnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4639-2
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-4638-5
  • Online ISBN 978-1-4614-4639-2
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site
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