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- DescriptionThis 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 w make it possible for a surveillance agency to listen for a kwn terrorist without being able to hear conversation from n-targeted, incent civilians.
- Author BiographyDr. Manas A. Pathak received the BTech degree in computer science from Visvesvaraya National Institute of Technology, Nagpur, India, in 2006, and the MS and PhD degrees from the Language Technologies Institute at Carnegie Mellon University (CMU) in 2009 and 2012 respectively. He is currently working as a research scientist at Adchemy, Inc. His research interests include intersection of data privacy, machine learning, speech processing.
- Author(s)Manas A. Pathak
- PublisherSpringer-Verlag New York Inc.
- Date of Publication25/10/2012
- SubjectOther Specific Technologies
- Series TitleSpringer Theses
- Series Part/Volume Number7
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Note7 black & white tables, biography
- Weight409 g
- Width155 mm
- Height235 mm
- Spine15 mm
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