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121026s2013 xxu| s |||| 0|eng d |
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|a 9781461446392
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|a 10.1007/978-1-4614-4639-2
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Pathak, Manas A.
|e author.
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|a Privacy-Preserving Machine Learning for Speech Processing /
|c by Manas A. Pathak.
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|a 1st ed. 2013.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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|a XVIII, 142 p. :
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
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|a 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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|a Signal processing.
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|a Image processing.
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|a Speech processing systems.
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|a Electrical engineering.
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|a Data structures (Computer science).
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|a Power electronics.
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|a Signal, Image and Speech Processing.
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|a Communications Engineering, Networks.
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|a Data Structures and Information Theory.
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|a Power Electronics, Electrical Machines and Networks.
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|a SpringerLink (Online service)
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|t Springer eBooks
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