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Understanding perceived room acoustical similarity is crucial to generating perceptually optimized audio rendering algorithms that maximize the perceived quality while minimizing the computational cost. In this paper we present a perceptual study in which listeners compare dynamic binaural renderings generated from spatial room impulse responses (SRIRs) obtained in several rooms and positions and are asked to identify whether they belong to the same space. The perceptual results, together with monaural room acoustical parameters, are used to generate a prediction model that estimates the perceived similarity of two SRIRs.
Author (s): Helmholz, Hannes; Ananthabhotla, Ishwarya; Calamia, Paul T.; Amengual Gari, Sebastià V.
Affiliation:
Reality Labs Research at Meta, Redmon, WA, USA; Chalmers University of Technology, Gothenburg, Sweden
(See document for exact affiliation information.)
Publication Date:
2022-08-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=21850
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Helmholz, Hannes; Ananthabhotla, Ishwarya; Calamia, Paul T.; Amengual Gari, Sebastià V.; 2022; Towards the Prediction of Perceived Room Acoustical Similarity [PDF]; Reality Labs Research at Meta, Redmon, WA, USA; Chalmers University of Technology, Gothenburg, Sweden; Paper 20; Available from: https://aes2.org/publications/elibrary-page/?id=21850
Helmholz, Hannes; Ananthabhotla, Ishwarya; Calamia, Paul T.; Amengual Gari, Sebastià V.; Towards the Prediction of Perceived Room Acoustical Similarity [PDF]; Reality Labs Research at Meta, Redmon, WA, USA; Chalmers University of Technology, Gothenburg, Sweden; Paper 20; 2022 Available: https://aes2.org/publications/elibrary-page/?id=21850
@article{helmholz2022towards,
author={helmholz hannes and ananthabhotla ishwarya and calamia paul t. and amengual gari sebastià v.},
journal={journal of the audio engineering society},
title={towards the prediction of perceived room acoustical similarity},
year={2022},
number={20},
month={august},}