Privacy-Preserving Machine Learning for Speech Processing

Name: Privacy-Preserving Machine Learning for Speech Processing
Brand: Springer-Verlag New York Inc.
SKU: 9781461446385
Price: 553.26 RON
Availability: InStock

Autor: Manas A. Pathak

Limbă:

Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

Disponibilitate: În depozitul extern

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This thesis discusses the privacy issues in speech-based applications, including biometric authentic...

Informații despre carte

Autor

Manas A. Pathak

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2012

Pagini

142

EAN

9781461446385

ISBN

1461446384

Enbook ID

01428073

Editura

Springer-Verlag New York Inc.

Greutate

3672

Dimensiuni

155 x 235 x 12

Descriere completă

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.

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Privacy-Preserving Machine Learning for Speech Processing

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