Abstract: Techniques for sound preference determination include performing a first round of option selection by: determining a first set of options for setting one or more audio parameters; for each first pair of options in the first set of options: outputting a demonstration audio content with the one or more audio parameters set according to a first option of the first pair of options; outputting the demonstration audio content with the one or more audio parameters set according to a second option of the first pair of options; receiving a selection of the first option or the second option; incrementing a count associated with the selected one of the first option or the second option; determining which option in the first set of options has a highest count; and playing audio content based on values for the one or more audio parameters associated with the option having the highest count.

Abstract: An embodiment sets forth a technique for configuring one or more audio parameters. The technique includes presenting a first plurality of setting options associated with an audio parameter, wherein the first plurality of setting options comprises a first option having a same value as a first setting of the audio parameter and a second option having a first value different than the first setting; receiving a selection of one of the first option and the second option; based on the selection, presenting a second plurality of setting options associated with the audio parameter, wherein the second plurality of setting options comprises a third option having a same value as a second setting of the audio parameter and a fourth option having a second value different than the second setting; and setting the audio parameter based on a selection of at least one of the second plurality of setting options.

Abstract: A memory stores a linear model predicting a preference rating for in-ear headphones. A processor is programmed to generate a headphone response curve defining a frequency response of a headphone, apply the linear model to the headphone response curve to determine a preference rating, and provide the preference rating to predict overall sound quality of the in-ear headphone without listening tests.

Abstract: A memory stores a linear model predicting a preference rating for in-ear headphones. A processor is programmed to generate a headphone response curve defining a frequency response of a headphone, apply the linear model to the headphone response curve to determine a preference rating, and provide the preference rating to predict overall sound quality of the in-ear headphone without listening tests.

Abstract: An embodiment sets forth a technique for configuring one or more audio parameters. The technique includes presenting a first plurality of setting options associated with an audio parameter, wherein the first plurality of setting options comprises a first option having a same value as a first setting of the audio parameter and a second option having a first value different than the first setting; receiving a selection of one of the first option and the second option; based on the selection, presenting a second plurality of setting options associated with the audio parameter, wherein the second plurality of setting options comprises a third option having a same value as a second setting of the audio parameter and a fourth option having a second value different than the second setting; and setting the audio parameter based on a selection of at least one of the second plurality of setting options.

Abstract: A headphone response error curve (HREC) may be calculated based on a difference in response between a headphone response curve for a headphone to be evaluated and a target headphone response curve. A linear model may be applied to the headphone response curve to determine a preference rating predicting overall sound quality of the headphone. The linear model may be developed using independent variables such as mean error (ME) of the headphones response curve to the target response curve, standard deviation (SD) of error of the HREC, or absolute value of a slope (AS) of a logarithmic regression line of the HREC.

Abstract: A headphone testing system includes a memory storing a headphone test application, headphone characteristics of a headphone connected to the headphone tester system, and headphone characteristics of a plurality of headphone models to test. A processor is programmed to execute the headphone test application to simulate a first of the plurality of headphone models using the headphone characteristics of the connected headphone and the headphone characteristics of the first of the plurality of headphone models, simulate a second of the plurality of headphone models using the headphone characteristics of the connected headphone and the headphone characteristics of the second of the plurality of headphone models, receive user input regarding user preference for the first of the plurality of headphone models and the second of the plurality of headphone models, and present results indicating which of the headphone models is scored highest according to the user input.