Springer
Privacy-Preserving Machine Learning for Speech Processing
Product Code:
9781461446385
ISBN13:
9781461446385
Condition:
New
$118.37
Privacy-Preserving Machine Learning for Speech Processing
$118.37
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.
| Author: Manas A. Pathak |
| Publisher: Springer |
| Publication Date: Oct 25, 2012 |
| Number of Pages: 142 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 1461446384 |
| ISBN-13: 9781461446385 |
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