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The widespread adoption of acoustic modeling in such applications as 3D gaming and virtual reality simulation are generally hindered by the complexity of the implementation. The most efficient binaural acoustic modeling systems use a multi-tap delay to generate early reflections, which are then combined with a feedback delay network to produce generic late reverberation. This report presents a method of binaural acoustic simulation that uses one feedback delay network to simultaneously model both first-order reflections and late reverberation. The advantages are simplicity and efficiency. The proposed method is compared to existing methods for modeling binaural early reflections using a multi-tap delay line. Measurements of ISO standard evaluators including interaural correlation coefficient, decay time, clarity, definition, and center time indicate that the proposed method achieves a comparable accuracy to less efficient methods. The proposed method is implemented as an iOS application, and is able to auralize input signal directly without convolution and update in real time. This significantly reduces the computational time because it does not need to produce an impulse response after every parameter update.
Author (s): Agus, Natalie; Anderson, Hans; Chen, Jer-Ming; Lui, Simon; Herremans, Dorien
Affiliation:
Singapore University of Technology and Design, Singapore; Agency for Science, Technology and Research (A*STAR), Singapore
(See document for exact affiliation information.)
Publication Date:
2018-10-06
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Agus, Natalie; Anderson, Hans; Chen, Jer-Ming; Lui, Simon; Herremans, Dorien; 2018; Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network [PDF]; Singapore University of Technology and Design, Singapore; Agency for Science, Technology and Research (A*STAR), Singapore; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=19862
Agus, Natalie; Anderson, Hans; Chen, Jer-Ming; Lui, Simon; Herremans, Dorien; Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network [PDF]; Singapore University of Technology and Design, Singapore; Agency for Science, Technology and Research (A*STAR), Singapore; Paper ; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19862
@article{agus2018minimally,
author={agus natalie and anderson hans and chen jer-ming and lui simon and herremans dorien},
journal={journal of the audio engineering society},
title={minimally simple binaural room modeling using a single feedback delay network},
year={2018},
volume={66},
issue={10},
pages={791-807},
month={october},}
TY – paper
TI – Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network
SP – 791 EP – 807
AU – Agus, Natalie
AU – Anderson, Hans
AU – Chen, Jer-Ming
AU – Lui, Simon
AU – Herremans, Dorien
PY – 2018
JO – Journal of the Audio Engineering Society
VO – 66
IS – 10
Y1 – October 2018