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  <titleInfo>
    <title>Privacy-Preserving Machine Learning for Speech Processing</title>
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  <name type="personal">
    <namePart>Pathak, Manas A.</namePart>
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    <dateIssued encoding="marc">2013</dateIssued>
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    <extent>xvii, 141 pages : illustrations (some color) ; 25 cm.</extent>
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  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">Manas A. Pathak.</note>
  <note>"Doctoral Thesis accepted by Carnegie Mellon University, USA"--Title page.</note>
  <note>Ph. D. Carnegie Mellon University 2012</note>
  <note>Includes bibliographical references.</note>
  <subject authority="lcsh">
    <topic>Speech processing systems</topic>
  </subject>
  <classification authority="lcc">MLCM 2016/40825 (T)</classification>
  <classification authority="ddc">000.454 PAT</classification>
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      <title>Springer Theses, Recognizing Outstanding Ph.D. Research</title>
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  <identifier type="isbn">9781461446385 (alk. paper)</identifier>
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