Description
Privacy-Preserving Machine Learning for Speech Processing, 2013
Springer Theses Series
Author: Pathak Manas A.
Language: EnglishSubjects for Privacy-Preserving Machine Learning for Speech Processing:
Approximative price 105.49 €
In Print (Delivery period: 15 days).
Add to cart the book of Pathak Manas A.Publication date: 11-2014
142 p. · 15.5x23.5 cm · Paperback
Approximative price 105.49 €
In Print (Delivery period: 15 days).
Add to cart the book of Pathak Manas A.Publication date: 10-2012
142 p. · 15.5x23.5 cm · Paperback
Description
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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
Includes supplementary material: sn.pub/extras