N. Chétry, M. Emerit, G. Pallone, and D. Virette, “A Discussion about Subjective Methods for Evaluating Blind Upmix Algorithms,” in Proc. AES Conference: 31st International Conference: New Directions in High Resolution Audio, Jun. 2007, Paper 26. [Online]. Available: https://aes.org/publications/elibrary-page/?id=13962
Chétry N, Emerit M, Pallone G, Virette D. A Discussion about Subjective Methods for Evaluating Blind Upmix Algorithms. In: AES Conference: 31st International Conference: New Directions in High Resolution Audio. Audio Engineering Society; 2007. Paper 26. Available from: https://aes.org/publications/elibrary-page/?id=13962
@inproceedings{Chetry2007_13962,
author = {Chétry, Nicolas and Emerit, Marc and Pallone, Grégory and Virette, David},
title = {{A Discussion about Subjective Methods for Evaluating Blind Upmix Algorithms}},
booktitle = {AES Conference: 31st International Conference: New Directions in High Resolution Audio},
note = {Paper 26},
year = {2007},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=13962}
}
TY - CPAPER
TI - A Discussion about Subjective Methods for Evaluating Blind Upmix Algorithms
AU - Chétry, Nicolas
AU - Emerit, Marc
AU - Pallone, Grégory
AU - Virette, David
T2 - AES Conference: 31st International Conference: New Directions in High Resolution Audio
M1 - Paper 26
PY - 2007
DA - 2007/06/06
UR - https://aes.org/publications/elibrary-page/?id=13962
PB - Audio Engineering Society
LA - en
AB - We discuss the problems that arise when evaluating the performance of blind upmix algorithms. After having reviewed several evaluation methodologies encountered in literature, we describe a method involving conventional spatial attributes grading and user comments analyses. We report listening test results during which four upmix algorithms have been evaluated. The dependence of algorithms' performance upon test materials and the limited influence of listeners' expertise level upon the gradings are highlighted. We analyse the experimental data and discuss the design of subjective methods for evaluating blind upmix algorithms.
ER -