H. Nasereddin and A. Banoushi, “Loudness: A Function of Peak, RMS, and Mean Values of a Sound Signal,” in Proc. AES Convention 139, Oct. 2015, pp. 9473:1-. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18029
Nasereddin H, Banoushi A. Loudness: A Function of Peak, RMS, and Mean Values of a Sound Signal. In: AES Convention 139. Audio Engineering Society; 2015.pp. 9473:1-. Available from: https://aes.org/publications/elibrary-page/?id=18029
@inproceedings{Nasereddin2015_18029,
author = {Nasereddin, Hoda and Banoushi, Ayoub},
title = {{Loudness: A Function of Peak, RMS, and Mean Values of a Sound Signal}},
booktitle = {AES Convention 139},
pages = {9473:1-},
year = {2015},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18029}
}
TY - CPAPER
TI - Loudness: A Function of Peak, RMS, and Mean Values of a Sound Signal
AU - Nasereddin, Hoda
AU - Banoushi, Ayoub
T2 - AES Convention 139
SP - 1
M1 - Paper 9473
PY - 2015
DA - 2015/10/06
UR - https://aes.org/publications/elibrary-page/?id=18029
PB - Audio Engineering Society
LA - en
AB - Every sound has a loudness recognized by hearing mechanism. Although loudness is a sensation measure, it is a function of sound signal properties. However, the function is not completely clear. In this paper we show that loudness determination as a function of effective mean square (RMS), peak, and average values of a sound signal is possible with an artificial neural network (ANN). We did not access to experimental data, so we produced required data using ITU-R BS.1770 model to train the network. The results show that the loudness can be simply estimated using sound signal physical features and without referring to complex hearing mechanism.
ER -