Privacy-preserving machine learning for speech processing
This thesis discusses the privacy issues in speech-based applications, including biometric authentication, surveillance, and external speech processing services. Manas A. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identificat...
Sparad:
| Huvudupphovsman: | |
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| Materialtyp: | Livre numérique |
| Språk: | Anglais |
| Publicerad: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Serie: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Länkar: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmärkning: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Privacy-Preserving Machine Learning for Speech Processing, Texte imprimé, 9781461446385 • Privacy-Preserving Machine Learning for Speech Processing, Texte imprimé, 9781461446408 • Privacy-Preserving Machine Learning for Speech Processing, Texte imprimé, 9781489991201 |