Privacy-Preserving Machine Learning for Speech Processing | Manas A. Pathak | Taschenbuch | Springer Theses | Paperback | XVIII | Englisch | 2014 | Springer New York | EAN 9781489991201 - Taschenbuch
2014, ISBN: 9781489991201
[ED: Taschenbuch], [PU: Springer New York], This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech proce… Mehr…
booklooker.de |
2014, ISBN: 9781489991201
[ED: Softcover], [PU: Springer / Springer New York / Springer, Berlin], This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillanc… Mehr…
booklooker.de buecher.de GmbH & Co. KG Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Details... |
ISBN: 9781489991201
Paperback, [PU: Springer-Verlag New York Inc.], This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech p… Mehr…
BookDepository.com Versandkosten:Versandkostenfrei. (EUR 0.00) Details... |
2014, ISBN: 1489991204
2013 Kartoniert / Broschiert Elektrotechnik, Elektronik, Nachrichtententechnik, Telekommunikation, Algorithmen und Datenstrukturen, Digitale Signalverarbeitung (DSP), HomomorphicEncrypt… Mehr…
Achtung-Buecher.de MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien Versandkosten:Versandkostenfrei innerhalb der BRD. (EUR 0.00) Details... |
2014, ISBN: 9781489991201
Buch, Softcover, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2014
lehmanns.de Versandkosten:Versand in 10-14 Tagen. (EUR 0.00) Details... |
Privacy-Preserving Machine Learning for Speech Processing | Manas A. Pathak | Taschenbuch | Springer Theses | Paperback | XVIII | Englisch | 2014 | Springer New York | EAN 9781489991201 - Taschenbuch
2014, ISBN: 9781489991201
[ED: Taschenbuch], [PU: Springer New York], This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech proce… Mehr…
2014, ISBN: 9781489991201
[ED: Softcover], [PU: Springer / Springer New York / Springer, Berlin], This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillanc… Mehr…
ISBN: 9781489991201
Paperback, [PU: Springer-Verlag New York Inc.], This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech p… Mehr…
2014, ISBN: 1489991204
2013 Kartoniert / Broschiert Elektrotechnik, Elektronik, Nachrichtententechnik, Telekommunikation, Algorithmen und Datenstrukturen, Digitale Signalverarbeitung (DSP), HomomorphicEncrypt… Mehr…
2014, ISBN: 9781489991201
Buch, Softcover, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2014
Bibliographische Daten des bestpassenden Buches
Autor: | |
Titel: | |
ISBN-Nummer: |
Detailangaben zum Buch - Privacy-Preserving Machine Learning for Speech Processing
EAN (ISBN-13): 9781489991201
ISBN (ISBN-10): 1489991204
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer-Verlag New York Inc.
Buch in der Datenbank seit 2015-03-17T22:19:17+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-09-26T15:13:48+02:00 (Berlin)
ISBN/EAN: 1489991204
ISBN - alternative Schreibweisen:
1-4899-9120-4, 978-1-4899-9120-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: pathak
Titel des Buches: the preserving machine, machine learning, manas, learning englisch, privacy, springer theses
Daten vom Verlag:
Autor/in: Manas A. Pathak
Titel: Springer Theses; Privacy-Preserving Machine Learning for Speech Processing
Verlag: Springer; Springer US
142 Seiten
Erscheinungsjahr: 2014-11-09
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XVIII, 142 p.
BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Homomorphic Encryption; Locality Sensitive Hashing; Secure Multiparty Computation; Speaker Identification; Speaker Verification; Speech Recognition; Signal, Speech and Image Processing; Communications Engineering, Networks; Data Structures and Information Theory; Electrical Power Engineering; Digitale Signalverarbeitung (DSP); Nachrichtententechnik, Telekommunikation; Algorithmen und Datenstrukturen; Informationstheorie; Elektrotechnik; BB
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.Nominated as outstanding PhD thesis from Carnegie Mellon University Develops an efficient computational framework, making it possible to create speech processing applications such as voice biometrics, mining and speech recognition that are privacy-preserving Presents a technology solution, which would allow a user to utilize an IVR system without fear that the system could learn undesired information, such as gender or nationality, or be able to record and edit voice Includes supplementary material: sn.pub/extras
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Neuestes ähnliches Buch:
9781461446408 Privacy-Preserving Machine Learning for Speech Processing
< zum Archiv...