INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781461446392
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-57627
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Privacy-Preserving Machine Learning for Speech Processin
General Material Designation
[Book]
First Statement of Responsibility
/ by Manas A. Pathak
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY
Name of Publisher, Distributor, etc.
: Springer New York :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2013.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XVII, 141 p. 21 illus., 13 illus. in color., online resource.
SERIES
Series Title
(Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
CONTENTS NOTE
Text of Note
This thesis discusses the privacy issues in speech-based applications, includingbiometric 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.
Text of Note
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.
SERIES
Title
Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053
TOPICAL NAME USED AS SUBJECT
Engineering
Data structures (Computer science)
Telecommunication
Production of electric energy or power
Electronic books
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Pathak, Manas A.
PERSONAL NAME - SECONDARY RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9781461446385.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781461446385.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
