C. P. Volk, T. H. Pedersen, S. Bech, and F. Christensen, “Modelling Perceptual Characteristics of Prototype Headphones,” in Proc. AES Conference: 2016 AES International Conference on Headphone Technology, Aug. 2016, Paper 5-2. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18360
Volk CP, Pedersen TH, Bech S, Christensen F. Modelling Perceptual Characteristics of Prototype Headphones. In: AES Conference: 2016 AES International Conference on Headphone Technology. Audio Engineering Society; 2016. Paper 5-2. Available from: https://aes.org/publications/elibrary-page/?id=18360
@inproceedings{Volk2016_18360,
author = {Volk, Christer P. and Pedersen, Torben H. and Bech, Søren and Christensen, Flemming},
title = {{Modelling Perceptual Characteristics of Prototype Headphones}},
booktitle = {AES Conference: 2016 AES International Conference on Headphone Technology},
note = {Paper 5-2},
year = {2016},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18360}
}
TY - CPAPER
TI - Modelling Perceptual Characteristics of Prototype Headphones
AU - Volk, Christer P.
AU - Pedersen, Torben H.
AU - Bech, Søren
AU - Christensen, Flemming
T2 - AES Conference: 2016 AES International Conference on Headphone Technology
M1 - Paper 5-2
PY - 2016
DA - 2016/08/06
UR - https://aes.org/publications/elibrary-page/?id=18360
PB - Audio Engineering Society
LA - en
AB - This study tested a framework for modelling of sensory descriptors (words) differentiating headphones. Six descriptors were included in a listening test with recordings of the sound reproductions of seven prototype headphones. A comprehensive data quality analysis investigated both the performance of the listeners and the suitability of the descriptors for modelling. Additionally, two strategies were investigated for modelling metrics describing these descriptors, both relying on specific loudness estimations of the test stimuli. The stability of the initially found metrics was tested with a bootstrap procedure to quantify the potential of the metrics for future predictions within the perceptual space spanned by the headphones. The most promising results were metrics for Bass, Clean and Dark-Bright with correlations values of r^2 = 0.62, r^2 = 0.58, and r^2 = 0.90 respectively.
ER -