Erschienen: 09.11.2014 Abbildung von Pathak | Privacy-Preserving Machine Learning for Speech Processing | 1. Auflage | 2014 | beck-shop.de

Pathak

Privacy-Preserving Machine Learning for Speech Processing

lieferbar (3-5 Tage)

Buch. Softcover

2014

xviii, 142 S. 7 s/w-Tabelle, Bibliographien.

In englischer Sprache

Springer. ISBN 978-1-4899-9120-1

Format (B x L): 15,5 x 23,5 cm

Gewicht: 256 g

Das Werk ist Teil der Reihe: Springer Theses

Produktbeschreibung

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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