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Privacy-Preserving Machine Learning for Speech Processing - Springer Theses Manas A. Pathak
Privacy-Preserving Machine Learning for Speech Processing - Springer Theses
Manas A. Pathak
This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition.
142 pages, colour illustrations, black & white tables, bibliography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2014. gada 9. novembris |
| Oriģinālā izdošanas datums | 2012 |
| ISBN13 | 9781489991201 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 142 |
| Izmēri | 155 × 235 × 9 mm · 231 g |
| Valoda | Angļu |