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Real-Time Audio Reverberation for Vi...

Shen, Justin M.

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Real-Time Audio Reverberation for Virtual Room Acoustics.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Real-Time Audio Reverberation for Virtual Room Acoustics./
作者:	Shen, Justin M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	48 p.
附註:	Source: Masters Abstracts International, Volume: 82-04.
Contained By:	Masters Abstracts International82-04.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27998299
ISBN:	9798678119575

Real-Time Audio Reverberation for Virtual Room Acoustics.
Shen, Justin M.

Real-Time Audio Reverberation for Virtual Room Acoustics. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 48 p.

Source: Masters Abstracts International, Volume: 82-04.

Thesis (M.S.)--University of Maryland, College Park, 2020.

This item must not be sold to any third party vendors.

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 Delay 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 for interactive applications.

ISBN: 9798678119575Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Artificial reverberation

Real-Time Audio Reverberation for Virtual Room Acoustics.
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500 $a Source: Masters Abstracts International, Volume: 82-04.
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653 $a Augmented reality
653 $a Feedback delay network
653 $a Machine learning
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