Privacy-Preserving Machine Learning for Speech Processing
Produktnummer:
1862bb09f046f64adfba872f2fdb1525e7
| Autor: | Pathak, Manas A. |
|---|---|
| Themengebiete: | Homomorphic Encryption Locality Sensitive Hashing Secure Multiparty Computation Speaker Identification Speaker Verification Speech Recognition |
| Veröffentlichungsdatum: | 09.11.2014 |
| EAN: | 9781489991201 |
| Sprache: | Englisch |
| Seitenzahl: | 142 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer US |
Produktinformationen "Privacy-Preserving Machine Learning for Speech Processing"
This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Author Manas A. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition. The author also introduces some of the tools from cryptography and machine learning and current techniques for improving the efficiency and scalability of the presented solutions. Experiments with prototype implementations of the solutions for execution time and accuracy on standardized speech datasets are also included in the text. Using the framework proposed may now make it possible for a surveillance agency to listen for a known terrorist without being able to hear conversation from non-targeted, innocent civilians.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen