B. Martin, D. Martin, R. King, and W. Woszczyk, “Subjective Graphical Representation of Microphone Arrays for Vertical Imaging and Three-Dimensional Capture of Acoustic Instruments, Part II,” in Proc. AES Convention 147, Oct. 2019, Paper 10265. [Online]. Available: https://aes.org/publications/elibrary-page/?id=20638
Martin B, Martin D, King R, Woszczyk W. Subjective Graphical Representation of Microphone Arrays for Vertical Imaging and Three-Dimensional Capture of Acoustic Instruments, Part II. In: AES Convention 147. Audio Engineering Society; 2019. Paper 10265. Available from: https://aes.org/publications/elibrary-page/?id=20638
@inproceedings{Martin2019_20638,
author = {Martin, Bryan and Martin, Denis and King, Richard and Woszczyk, Wieslaw},
title = {{Subjective Graphical Representation of Microphone Arrays for Vertical Imaging and Three-Dimensional Capture of Acoustic Instruments, Part II}},
booktitle = {AES Convention 147},
note = {Paper 10265},
year = {2019},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=20638}
}
TY - CPAPER
TI - Subjective Graphical Representation of Microphone Arrays for Vertical Imaging and Three-Dimensional Capture of Acoustic Instruments, Part II
AU - Martin, Bryan
AU - Martin, Denis
AU - King, Richard
AU - Woszczyk, Wieslaw
T2 - AES Convention 147
M1 - Paper 10265
PY - 2019
DA - 2019/10/06
UR - https://aes.org/publications/elibrary-page/?id=20638
PB - Audio Engineering Society
LA - en
AB - This investigation employs a simple graphical method in an effort to represent the perceived spatial attributes of three microphone arrays designed to create vertical and three-dimensional audio images. Three separate arrays were investigated in this study: Coincident, M/S-XYZ, and Non-coincident/Five-point capture. Instruments of the orchestral string, woodwind, and brass sections were recorded. Test subjects were asked to represent the spatial attributes of the perceived audio image on a horizontal/vertical grid and a graduated depth grid, via a pencil drawing. Results show that the arrays exhibit a greater extent in every dimension—vertical, horizontal, and depth—compared to the monophonic image. The statistical trends show that the spatial characteristics of each array are consistent across each dimension. In the context of immersive/3D mixing and post production, a case can be made that the arrays will contribute to a more efficient and improved workflow due to the fact that they are easily optimized during mixing or post-production.
ER -