In this paper, we introduce an adaptation of the Interactive Differential Evolution (IDE) algorithm to the audio domain for the task of identifying the preferred over-the-ear headphone frequency response target among consumers. The method is based on data collection using an adaptive paired rating listening test paradigm (paired comparison with a scale). The IDE algorithm and its parameters are explained in detail. Additionally, data collected from three listening experiments with more than 20 consumers is presented, and the algorithm`s performance in this untested domain is investigated on the basis of two convergence measures. The results indicate that this method can converge and may ease the task of `extracting` frequency response preference from untrained consumers.
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