E. Burdiel, L. Vetter, A. J. R. Simpson, M. J. Terrell, A. McPherson, and M. B. Sandler, “Real-Time Implementation of Glasberg and Moore's Loudness Model for Time-Varying Sounds,” in Proc. AES Convention 133, Oct. 2012, Paper 8769. [Online]. Available: https://aes.org/publications/elibrary-page/?id=16511
Burdiel E, Vetter L, Simpson AJR, Terrell MJ, McPherson A, Sandler MB. Real-Time Implementation of Glasberg and Moore's Loudness Model for Time-Varying Sounds. In: AES Convention 133. Audio Engineering Society; 2012. Paper 8769. Available from: https://aes.org/publications/elibrary-page/?id=16511
@inproceedings{Burdiel2012_16511,
author = {Burdiel, Elvira and Vetter, Lasse and Simpson, Andrew J. R. and Terrell, Michael J. and McPherson, Andrew and Sandler, Mark B.},
title = {{Real-Time Implementation of Glasberg and Moore's Loudness Model for Time-Varying Sounds}},
booktitle = {AES Convention 133},
note = {Paper 8769},
year = {2012},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=16511}
}
TY - CPAPER
TI - Real-Time Implementation of Glasberg and Moore's Loudness Model for Time-Varying Sounds
AU - Burdiel, Elvira
AU - Vetter, Lasse
AU - Simpson, Andrew J. R.
AU - Terrell, Michael J.
AU - McPherson, Andrew
AU - Sandler, Mark B.
T2 - AES Convention 133
M1 - Paper 8769
PY - 2012
DA - 2012/10/06
UR - https://aes.org/publications/elibrary-page/?id=16511
PB - Audio Engineering Society
LA - en
AB - In this paper, a real-time implementation of the loudness model of Glasbergand Moore [J. Audio Eng. Soc. 50, 331–342 (2002)] for time-varying sounds is presented. This real-time implementation embodies several approximations to the model that are necessary to reduce computational costs, both in the time and frequency domains. A quantitative analysis is given that shows the effect of parametric time and frequency domain approximations by comparison to the loudness predictions of the original model. Using real-world music, both the errors introduced as a function of the optimization parameters and the corresponding reduction in computational costs are quantified. Thus, this work provides an informed, contextual approach to approximation of the loudness model for practical use.
ER -