Privacy-Preserving Machine Learning for Speech Processing - Hardback - 2012

Manas A. Pathak

Privacy-Preserving Machine Learning for Speech Processing - Hardback - 2012 - 1
Resumo
Discusses the privacy issues in speech - based applications such as biometric authentication, surveillance, and external speech processing services. This title presents solutions for privacy - preserving speech processing applications such as speaker verification, speaker identification and speech recognition.
Year of publication: 2012
Pagination: 142 pages, 7 black & white tables, biography
Format: Hardback
Serie: Springer Theses

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Resumo

Discusses the privacy issues in speech - based applications such as biometric authentication, surveillance, and external speech processing services. This title presents solutions for privacy - preserving speech processing applications such as speaker verification, speaker identification and speech recognition.
Year of publication: 2012
Pagination: 142 pages, 7 black & white tables, biography
Format: Hardback
Serie: Springer Theses
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Características

Editora

Springer-Verlag New York Inc.

Dimensão

235 x 155 x 15

Peso

409

Tema

Communications engineering / telecommunications|Acoustic & sound engineering|Machine learning|Speech recognition

Origem

United States

EAN

9781461446385

Publicidade
Publicidade