Privacy-Preserving Machine Learning for Speech Processing

Name: Privacy-Preserving Machine Learning for Speech Processing
Brand: Springer-Verlag New York Inc.
SKU: 9781489991201
Price: 100.0 EUR
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Autor: Manas A. Pathak

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer-Verlag New York Inc.

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This thesis discusses the privacy issues in speech-based applications such as biometric authenticati...

Informácie o knihe

Autor

Manas A. Pathak

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

142

EAN

9781489991201

ISBN

1489991204

Enbook ID

09089172

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

2526

Rozmery

155 x 8 x 9

Kompletný popis

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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Privacy-Preserving Machine Learning for Speech Processing

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