Segmentation of Listeners Based on Their Preferred Headphone Sound Quality Profiles
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S. Olive, T. Welti, and O. Khonsaripour, "Segmentation of Listeners Based on Their Preferred Headphone Sound Quality Profiles," Paper 10156, (2019 March.). doi:
S. Olive, T. Welti, and O. Khonsaripour, "Segmentation of Listeners Based on Their Preferred Headphone Sound Quality Profiles," Paper 10156, (2019 March.). doi:
Abstract: In previous papers we reported results from two controlled listening tests where both trained and untrained listeners gave sound quality preference ratings for in-ear (IE) and around-ear/on-ear headphones. Both groups of listeners on average preferred headphones with frequency responses that meet the Harman target curves. In this paper we re-analyze the data using cluster analysis to uncover different segments or classes listeners based on their similarity in headphone ratings and explore common demographic (age, gender, listening experience) and acoustic factors associated their headphone preferences.
@article{olive2019segmentation,
author={olive, sean and welti, todd and khonsaripour, omid},
journal={journal of the audio engineering society},
title={segmentation of listeners based on their preferred headphone sound quality profiles},
year={2019},
volume={},
number={},
pages={},
doi={},
month={march},}
@article{olive2019segmentation,
author={olive, sean and welti, todd and khonsaripour, omid},
journal={journal of the audio engineering society},
title={segmentation of listeners based on their preferred headphone sound quality profiles},
year={2019},
volume={},
number={},
pages={},
doi={},
month={march},
abstract={in previous papers we reported results from two controlled listening tests where both trained and untrained listeners gave sound quality preference ratings for in-ear (ie) and around-ear/on-ear headphones. both groups of listeners on average preferred headphones with frequency responses that meet the harman target curves. in this paper we re-analyze the data using cluster analysis to uncover different segments or classes listeners based on their similarity in headphone ratings and explore common demographic (age, gender, listening experience) and acoustic factors associated their headphone preferences.},}
TY - paper
TI - Segmentation of Listeners Based on Their Preferred Headphone Sound Quality Profiles
SP -
EP -
AU - Olive, Sean
AU - Welti, Todd
AU - Khonsaripour, Omid
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - March 2019
TY - paper
TI - Segmentation of Listeners Based on Their Preferred Headphone Sound Quality Profiles
SP -
EP -
AU - Olive, Sean
AU - Welti, Todd
AU - Khonsaripour, Omid
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - March 2019
AB - In previous papers we reported results from two controlled listening tests where both trained and untrained listeners gave sound quality preference ratings for in-ear (IE) and around-ear/on-ear headphones. Both groups of listeners on average preferred headphones with frequency responses that meet the Harman target curves. In this paper we re-analyze the data using cluster analysis to uncover different segments or classes listeners based on their similarity in headphone ratings and explore common demographic (age, gender, listening experience) and acoustic factors associated their headphone preferences.
In previous papers we reported results from two controlled listening tests where both trained and untrained listeners gave sound quality preference ratings for in-ear (IE) and around-ear/on-ear headphones. Both groups of listeners on average preferred headphones with frequency responses that meet the Harman target curves. In this paper we re-analyze the data using cluster analysis to uncover different segments or classes listeners based on their similarity in headphone ratings and explore common demographic (age, gender, listening experience) and acoustic factors associated their headphone preferences.
Authors:
Olive, Sean; Welti, Todd; Khonsaripour, Omid
Affiliation:
Harman International, Northridge, CA, USA
AES Convention:
146 (March 2019)
Paper Number:
10156
Publication Date:
March 10, 2019Import into BibTeX
Subject:
Assessment
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=20289