@inproceedings{brinkmann2020towards,
author = {Brinkmann, Fabian and Gamper, Hannes and Raghuvanshi, Nikunj and Tashev, Ivan},
title = {Towards encoding perceptually salient early reflections for parametric spatial audio rendering},
booktitle = {AES convention},
year = {2020},
month = {June},
abstract = {Parametric spatial audio rendering promises fast and perceptually convincing audio cues that remain playback-system agnostic and enable aesthetic modifications of the acoustic experience within games and virtual reality. We propose a parametric encoder for spatial room impulse responses that is tested with nine simulated rooms spanning a large range of sizes and reverberation times. A key component of the pipeline is a perceptually inspired model for determining a minimal set of salient early reflections to reduce computational complexity. The results of a listening study with 27 subjects suggest that rendering six early reflections is indiscernible from a fully-rendered reference for the tested speech content and frequency-independent room simulations based on the image source method. However, the proposed model requires further improvements with respect to detecting and selecting the most-salient early reflections.



Related: Microsoft's Project Acoustics is a physics-based acoustic simulation and rendering solution based on Triton.},
url = {http://approjects.co.za/?big=en-us/research/publication/towards-encoding-perceptually-salient-early-reflections-for-parametric-spatial-audio-rendering/},
}