Privacy-Preserving Machine Learning for Speech Processing

Privacy-Preserving Machine Learning for Speech Processing

by Manas A. Pathak


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Product Details

ISBN-13: 9781489991201
Publisher: Springer New York
Publication date: 11/09/2014
Series: Springer Theses
Edition description: 2013
Pages: 142
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

About the Author

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 theLanguage Technologies InstituteatCarnegie 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.

Table of Contents

Thesis Overview.- Speech Processing Background.- Privacy Background.- Overview of Speaker Verification with Privacy.- Privacy-Preserving Speaker Verification Using Gaussian 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.- Thesis Conclusion.- Future Work.- Differentially Private Gaussian Mixture Models.

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