02203cam a22003857i 4500 6137 6137 17466834 OSt 20200125111314.0 120918s2013 nyua b 000 0 eng 2012949704 9781461446385 (alk. paper) 9781461446392 (eBook) DLC eng rda DLC MLCM 2016/40825 (T) 000.454 PAT Pathak, Manas A., author. Privacy-Preserving Machine Learning for Speech Processing / Manas A. Pathak. New York : Springer, [2013] xvii, 141 pages : illustrations (some color) ; 25 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 "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. Speech processing systems. Publisher description http://www.loc.gov/catdir/enhancements/fy1409/2012949704-d.html Table of contents only http://www.loc.gov/catdir/enhancements/fy1409/2012949704-t.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy1409/2012949704-b.html 7 cbc orignew 4 epcn 20 y-gencatlg ddc RFT 0 0 ddc 0 0 R-1/4 AIISH AIISH 2020-01-25 0 000.454 PAT 19697 2020-01-25 00:00:00 2020-01-25 RFT