D. Johnston, B. Tsui, and G. Kearney, “SALTE Pt. 1: A Virtual Reality Tool for Streamlined and Standardized Spatial Audio Listening Tests,” in Proc. AES Convention 147, Oct. 2019, Paper 536. [Online]. Available: https://aes.org/publications/elibrary-page/?id=20559
Johnston D, Tsui B, Kearney G. SALTE Pt. 1: A Virtual Reality Tool for Streamlined and Standardized Spatial Audio Listening Tests. In: AES Convention 147. Audio Engineering Society; 2019. Paper 536. Available from: https://aes.org/publications/elibrary-page/?id=20559
@inproceedings{Johnston2019_20559,
author = {Johnston, Daniel and Tsui, Benjamin and Kearney, Gavin},
title = {{SALTE Pt. 1: A Virtual Reality Tool for Streamlined and Standardized Spatial Audio Listening Tests}},
booktitle = {AES Convention 147},
note = {Paper 536},
year = {2019},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=20559}
}
TY - CPAPER
TI - SALTE Pt. 1: A Virtual Reality Tool for Streamlined and Standardized Spatial Audio Listening Tests
AU - Johnston, Daniel
AU - Tsui, Benjamin
AU - Kearney, Gavin
T2 - AES Convention 147
M1 - Paper 536
PY - 2019
DA - 2019/10/06
UR - https://aes.org/publications/elibrary-page/?id=20559
PB - Audio Engineering Society
LA - en
AB - This paper presents SALTE (Spatial Audio Listening Test Environment), an open-source framework for creating spatial audio perceptual testing within virtual reality (VR). The framework incorporates standard test paradigms such as MUSHRA, 3GPP TS 26.259 and audio localization. The simplified drag-and-drop user interface facilitates rapid and robust construction of customized VR experimental environments within Unity3D without any prior knowledge of the game engine or the C# coding language. All audio is rendered by the dedicated SALTE audio renderer which is controlled by dynamic participant data sent via Open Sound Control (OSC). Finally, the software is capable of exporting all experimental conditions such as visuals, participant interaction mechanisms, and test parameters allowing for streamlined and standardized comparable data within and in-between organizations.
ER -