E. Bates, W. David, and D. Dempsey, “Ambisonic Decoder Test Methodologies based on Binaural Reproduction,” in Proc. AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020), Aug. 2020, Paper 10457. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21134
Bates E, David W, Dempsey D. Ambisonic Decoder Test Methodologies based on Binaural Reproduction. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 10457. Available from: https://aes.org/publications/elibrary-page/?id=21134
@inproceedings{Bates2020_21134,
author = {Bates, Enda and David, William and Dempsey, Daniel},
title = {{Ambisonic Decoder Test Methodologies based on Binaural Reproduction}},
booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
note = {Paper 10457},
year = {2020},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21134}
}
TY - CPAPER
TI - Ambisonic Decoder Test Methodologies based on Binaural Reproduction
AU - Bates, Enda
AU - David, William
AU - Dempsey, Daniel
T2 - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1 - Paper 10457
PY - 2020
DA - 2020/08/06
UR - https://aes.org/publications/elibrary-page/?id=21134
PB - Audio Engineering Society
LA - en
AB - 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.
ER -