TY - GEN
T1 - Modelling perceptual characteristics of prototype headphones
AU - Volk, Christer Peter
AU - Pedersen, Torben Holm
AU - Bech, Søren
AU - Christensen, Flemming
N1 - Forventes udgivet som Open Access
PY - 2016/8/19
Y1 - 2016/8/19
N2 - In this study the characteristics of compact loudspeakers in a stereo setup were investigated. Perceptual evaluations of eleven loudspeakers were conducted on the basis of six selected sensory descriptors, chosen by experienced listeners during consensus meetings. Based on an analysis of the perceptual evaluation, four of the descriptors were found suited for modelling, with the purpose of developing metrics for prediction of Bass depth, Punch, Brilliance, and Dark-Bright. Bass depth and Punch were modelled as one due to high correlation between them. The experimental setup included loudspeaker spinners, enabling fast positioning of loudspeakers. The prediction models were based on binaural recordings, processed using a loudness model, and developed on the basis of previous work on headphone modelling [1, 2]. They were trained on a subset of the data (66%) and validated on the rest. The resulting metrics had high correlations with the perceptual ratings of the validation dataset (r = 0.87-0.96).
AB - In this study the characteristics of compact loudspeakers in a stereo setup were investigated. Perceptual evaluations of eleven loudspeakers were conducted on the basis of six selected sensory descriptors, chosen by experienced listeners during consensus meetings. Based on an analysis of the perceptual evaluation, four of the descriptors were found suited for modelling, with the purpose of developing metrics for prediction of Bass depth, Punch, Brilliance, and Dark-Bright. Bass depth and Punch were modelled as one due to high correlation between them. The experimental setup included loudspeaker spinners, enabling fast positioning of loudspeakers. The prediction models were based on binaural recordings, processed using a loudness model, and developed on the basis of previous work on headphone modelling [1, 2]. They were trained on a subset of the data (66%) and validated on the rest. The resulting metrics had high correlations with the perceptual ratings of the validation dataset (r = 0.87-0.96).
M3 - Article in proceeding
T3 - AES International Conferences
BT - AES Conference on Headphone Technology, Aalborg, Denmark, 2016 Aug 24–26
PB - Audio Engineering Society
T2 - 2016 AES International Conference on Headphone Technology
Y2 - 24 August 2016 through 26 August 2016
ER -