Abstract: Systems and methods are provided for personalized three-dimensional audio. In one embodiment, a sound calibration system comprises a headrest having a first speaker, a second speaker, and one or more sensors, the headrest configured to engage a head of a user, and a controller with computer readable instructions stored on non-transitory memory. The instructions, when executed, cause the controller to create customized spatial audio by utilizing a head-related impulse response (HRIR) that is modified based on an input audio signal, the location of the audio source and receiver, and the head position of the user. The resulting audio output is generated by applying the HRIR and interaural crosstalk cancellation filters to frequencies above a threshold frequency.

Abstract: A general model is provided for predicting a loudspeaker preference rating, where the model's predicted loudspeaker preference rating is calculated based upon the sum of a plurality of weighted independent variables that statistically quantify amplitude deviations in a loudspeaker frequency response. The independent variables selected may be independent variables determined as maximizing the ability of a loudspeaker preference variable to predict a loudspeaker preference rating. A multiple regression analysis is performed to determine respective weights for the selected independent variables. The weighted independent variables are arranged into a linear relationship on which the loudspeaker preference variable depends.

Abstract: A general model is provided for predicting a loudspeaker preference rating, where the model's predicted loudspeaker preference rating is calculated based upon the sum of a plurality of weighted independent variables that statistically quantify amplitude deviations in a loudspeaker frequency response. The independent variables selected may be independent variables determined as maximizing the ability of a loudspeaker preference variable to predict a loudspeaker preference rating. A multiple regression analysis is performed to determine respective weights for the selected independent variables. The weighted independent variables are arranged into a linear relationship on which the loudspeaker preference variable depends.