J. Rämö, S. Marsh, S. Bech, R. Mason, and S. H. Jensen, “Validation of a Perceptual Distraction Model in a Complex Personal Sound Zone System,” in Proc. AES Convention 141, Sep. 2016, Paper 9665. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18469
Rämö J, Marsh S, Bech S, Mason R, Jensen SH. Validation of a Perceptual Distraction Model in a Complex Personal Sound Zone System. In: AES Convention 141. Audio Engineering Society; 2016. Paper 9665. Available from: https://aes.org/publications/elibrary-page/?id=18469
@inproceedings{Ramo2016_18469,
author = {Rämö, Jussi and Marsh, Steven and Bech, Søren and Mason, Russell and Jensen, Søren Holdt},
title = {{Validation of a Perceptual Distraction Model in a Complex Personal Sound Zone System}},
booktitle = {AES Convention 141},
note = {Paper 9665},
year = {2016},
month = sep,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18469}
}
TY - CPAPER
TI - Validation of a Perceptual Distraction Model in a Complex Personal Sound Zone System
AU - Rämö, Jussi
AU - Marsh, Steven
AU - Bech, Søren
AU - Mason, Russell
AU - Jensen, Søren Holdt
T2 - AES Convention 141
M1 - Paper 9665
PY - 2016
DA - 2016/09/06
UR - https://aes.org/publications/elibrary-page/?id=18469
PB - Audio Engineering Society
LA - en
AB - This paper evaluates a previously proposed perceptual model predicting user's perceived distraction caused by interfering audio programs. The distraction model was originally trained using a simple sound reproduction system for music-on-music interference situations and it has not been formally tested using more complex sound systems. A listening experiment was conducted to evaluate the performance of the model, using music target and speech interferer reproduced by a complex personal sound-zone system. The model was found to successfully predict the perceived distraction of a more complex sound reproducing system with different target-interferer pairs than it was originally trained for. Thus, the model can be used as a tool for personal sound-zone evaluation and optimization tasks.
ER -