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We present and analyze a system for dynamically tailoring discrete audio content for numerous users based on aggregate data and intuitive feedback mechanisms. The framework for this system utilizes a flexible client-server architecture to facilitate audio dissemination, with particular attention to distribution over wireless networks. We discuss the requirements and specifications of such a system. We further analyze the algorithms and protocols required for its operation. Finally, we outline and provide data from a demonstration of this application.
Senior Honors Thesis. Advisors: David Kotz and Daniela Rus.
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David Marmaros, "A System for Audio Personalization with Applications on Wireless Devices." Dartmouth Computer Science Technical Report TR2001-398, June 2001.
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