A controlled listening test was conducted on 31 different models of around-ear (AE) and on-ear (OE) headphones to determine listeners" sound quality preferences. 130 listeners both trained and untrained rated the headphones based on preference using a virtual headphone method wherein a single replicator headphone was equalized to match the magnitude and minimum phase responses of the different headphones. Listeners rated 8 headphones in each trial that included high (the new Harman AE/OE target curve) and low anchors. On average, both trained and untrained listeners preferred the high anchor to 31 other choices. Using machine learning a model was developed that predicts the listeners' headphone preference ratings using deviations in magnitude response from the Harman target curve.
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