S. Hermon, V. Tourbabin, Z. Ben-Hur, J. Donley, and B. Rafaely, “Binaural signal matching with an arbitrary array based on a sound field model,” in Proc. AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference, Aug. 2022, Paper 31. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21861
Hermon S, Tourbabin V, Ben-Hur Z, Donley J, Rafaely B. Binaural signal matching with an arbitrary array based on a sound field model. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 31. Available from: https://aes.org/publications/elibrary-page/?id=21861
@inproceedings{Hermon2022_21861,
author = {Hermon, Shai and Tourbabin, Vladimir and Ben-Hur, Zamir and Donley, Jacob and Rafaely, Boaz},
title = {{Binaural signal matching with an arbitrary array based on a sound field model}},
booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
note = {Paper 31},
year = {2022},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21861}
}
TY - CPAPER
TI - Binaural signal matching with an arbitrary array based on a sound field model
AU - Hermon, Shai
AU - Tourbabin, Vladimir
AU - Ben-Hur, Zamir
AU - Donley, Jacob
AU - Rafaely, Boaz
T2 - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1 - Paper 31
PY - 2022
DA - 2022/08/06
UR - https://aes.org/publications/elibrary-page/?id=21861
PB - Audio Engineering Society
LA - en
AB - The capture and reproduction of spatial audio is becoming increasingly important with the mushrooming of applications in teleconferencing, entertainment, and virtual reality. Two popular methods include High Order Ambisonics (HOA) and beamforming-based binaural reproduction (BFBR), which are mainly studied with spherical arrays. Recently, binaural signal matching (BSM) has been proposed for binaural reproduction with arbitrary arrays. This paper investigates improvement of the method, which is based on a model of the sound field separated into direct and reverberant parts. A simulation study shows that the proposed method improved the performance of the BSM algorithm for some tested acoustic scenarios without the need for additional information about the sound field.
ER -