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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Privacy-Preserving Machine Learning for Speech Processing / Manas A. Pathak.

By: Material type: TextSeries: Springer Theses, Recognizing Outstanding Ph.D. ResearchPublisher: New York : Springer, [2013]Description: xvii, 141 pages : illustrations (some color) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781461446385 (alk. paper)
Subject(s): DDC classification:
  • 000.454 PAT
LOC classification:
  • MLCM 2016/40825 (T)
Online resources:
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.
Dissertation note: Ph. D. Carnegie Mellon University 2012
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Reference text books All India Institute of Speech and Hearing R-1/4 000.454 PAT (Browse shelf) Available 19697
Total holds: 0

"Doctoral Thesis accepted by Carnegie Mellon University, USA"--Title page.

Ph. D. Carnegie Mellon University 2012

Includes bibliographical references.

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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