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Privacy-preserving machine learning for speech processing, 2013 Theses Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Privacy-preserving machine learning for speech processing
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.
Thesis Overview.- Privacy Background.- Speech Processing Background.- Overview of Speaker Verification with Privacy.- Privacy-Preserving Speaker Verification Using Gausian Mixture Models.- Privacy-Preserving Speaker Verification as String Comparison.- Overview of Speaker Indentification with Privacy.- Privacy-Preserving Speaker Identification Using Gausian Mixture Models.- Privacy-Preserving Speaker Identification as String Comparison.- Overview of Speech Recognition with Privacy.- Privacy-Preserving Isolated-Word Recognition.

Dr. Manas A. Pathak received the BTech degree in computer science from Visvesvaraya National Institute of Technology, Nagpur, India, in 2006, and the MS and PhD degrees from the Language Technologies Institute at Carnegie Mellon University (CMU) in 2009 and 2012 respectively. He is currently working as a research scientist at Adchemy, Inc. His research interests include intersection of data privacy, machine learning, speech processing.

Nominated as outstanding PhD thesis from Carnegie Mellon University

Develops an efficient computational framework, making it possible to create speech processing applications such as voice biometrics, mining and speech recognition that are privacy-preserving

Presents a technology solution, which would allow a user to utilize an IVR system without fear that the system could learn undesired information, such as gender or nationality, or be able to record and edit voice

Date de parution :

Ouvrage de 142 p.

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Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 118,31 €

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Date de parution :

Ouvrage de 139 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 137,14 €

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