<p>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 iden
Privacy-Preserving Machine Learning for Speech Processing
โ Scribed by Pathak, Manas A
- Publisher
- Springer
- Year
- 2013
- Tongue
- English
- Leaves
- 145
- Series
- Springer Theses Recognizing Outstanding Ph. D. Research
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Production of electric energy or power;Telecommunication;Data structures (Computer science);Engineering
๐ SIMILAR VOLUMES
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: โข Privacy considerations in machine learning โข Differential privacy techniques for machine learning โข Privacy-prese
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning , you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Priv
The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear
<p>The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficienc