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Part 1 of this paper presented the results of controlled listening tests where 71 listeners both trained and untrained gave preference ratings for 30 different models of in-ear (IE) headphones. Both trained and untrained listeners preferred the headphone equalized to Harman IE target curve. Objective measurements indicated the magnitude response of the headphone appeared to be a predictor of its preference rating, and the further it deviated from the response of the Harman IE target curve the less it was generally preferred. Part 2 presents a linear regression model that accurately predicts the headphone preference ratings (r = 0.91) based on the size, standard deviation and slope of the magnitude response deviation from the response of the Harman IE headphone target curve.
Author (s): Olive, Sean; Welti, Todd; Khonsaripour, Omid
Affiliation:
Harman International, Northridge, CA, USA; Harman International Inc., Northridge, CA, USA
(See document for exact affiliation information.)
AES Convention: 143
Paper Number:9878
Publication Date:
2017-10-06
Import into BibTeX
Session subject:
Perception—Part 3
Permalink: https://aes2.org/publications/elibrary-page/?id=19275
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Olive, Sean; Welti, Todd; Khonsaripour, Omid; 2017; A Statistical Model that Predicts Listeners’ Preference Ratings of In-Ear Headphones: Part 2—Development and Validation of the Model [PDF]; Harman International, Northridge, CA, USA; Harman International Inc., Northridge, CA, USA; Paper 9878; Available from: https://aes2.org/publications/elibrary-page/?id=19275
Olive, Sean; Welti, Todd; Khonsaripour, Omid; A Statistical Model that Predicts Listeners’ Preference Ratings of In-Ear Headphones: Part 2—Development and Validation of the Model [PDF]; Harman International, Northridge, CA, USA; Harman International Inc., Northridge, CA, USA; Paper 9878; 2017 Available: https://aes2.org/publications/elibrary-page/?id=19275
@article{olive2017a,
author={olive sean and welti todd and khonsaripour omid},
journal={journal of the audio engineering society},
title={a statistical model that predicts listeners’ preference ratings of in-ear headphones: part 2—development and validation of the model},
year={2017},
number={9878},
month={october},}