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The comparative evaluation of the quality of different Ambisonic decoding strategies presents a number of challenges, most notably the lack of a suitable reference signal other than the original, real-world audio scene. In this paper a new test methodology for the evaluation of Ambisonic decoders is presented, using a virtual loudspeaker, binaural rendering approach. A sample study using a MUSHRA test paradigm and three different types of Ambisonic decoders was conducted and the results analyzed using a variety of different statistical approaches. The results indicate significant differences between decoders for some attributes and virtual loudspeaker layouts.
Author (s): Bates, Enda;
David, William;
Dempsey, Daniel;
Affiliation:
ADAPT Centre, School of Engineering, Trinity College Dublin, Ireland
(See document for exact affiliation information.)
Publication Date:
2020-08-06
Session subject:
Ambisonics
DOI:
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Bates, Enda; David, William; Dempsey, Daniel; 2020; Ambisonic Decoder Test Methodologies based on Binaural Reproduction [PDF]; ADAPT Centre, School of Engineering, Trinity College Dublin, Ireland; Paper 10457; Available from: https://aes.org/publications/elibrary-page/?id=21134
Bates, Enda; David, William; Dempsey, Daniel; Ambisonic Decoder Test Methodologies based on Binaural Reproduction [PDF]; ADAPT Centre, School of Engineering, Trinity College Dublin, Ireland; Paper 10457; 2020 Available: https://aes.org/publications/elibrary-page/?id=21134
@inproceedings{Bates2020ambisonic,
title={{Ambisonic Decoder Test Methodologies based on Binaural Reproduction}},
author={Bates, Enda and David, William and Dempsey, Daniel},
year={2020},
month={aug},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 10457; AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020); August 2020},
number={10457},
organization={AES},
}
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