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MS Defense: Real-time Audio Reverberation for Virtual Room Acoustics
Justin Shen
Thursday, May 28, 2020, 1:30-3:30 pm Calendar
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For virtual and augmented reality applications, it is desirable to render audio sources in the space the user is in, in real-time without sacrificing the perceptual quality of the sound. One aspect of the rendering that is perceptually important for a listener is the late-reverberation, or \echo", of the sound within a room environment. A popular method of generating a plausible late-reverberation in real-time is the use of Feedback-Delayed Network (FDN). However, its use has the drawback that it first has to be tuned (usually manually) for a particular room before the late-reverberation generated becomes perceptually accurate. In this thesis, we propose a data-driven approach to automatically generate a pre-tuned FDN for any given room described by a set of room parameters. When combined with existing method for rendering the direct path and early reflections of a sound source, we demonstrate the feasibility of being able to render audio source in real-time.

Examining Committee: 
                           Chair:              Dr. Ramani Duraiswami     
                          Members:        Dr. Matthias Zwicker  
                                                     Dr. Nirupam Roy 
Justin is a MS student advised by Professor Ramani Duraiswami. He received his BS in Computer Science also from the University of Maryland, and has a broad research interest in Data Science and Virtual/Augmented Reality. He recently won an award as the graduate school's outstanding Teaching Assistant for 2019-2020 and he will be at Exxon Research after graduation.


This talk is organized by Tom Hurst