Abstract: A method for generating an individualized audio output response for a headset based on a representation of a user's ear. One or more images of a portion of a user's head including at least the user's ear are received. A representation of the user's ear is generated based in part on the one or more images. A simulation of sound propagation from an audio source to the user's ear is performed based on the representation. An individualized audio output response is generated for the user based on the simulation, the individualized audio output response configured to adjust one or more acoustic parameters of audio content provided to the user by the headset.

Abstract: A method for generating an individualized audio output response for a headset using a machine learning model. One or more images of a portion of a user's head including at least the user's ear are received. One or more features describing the user's ear are identified based on the one or more images. The features are input to a model, and the model is configured to determine an audio output response for the user based on the identified one or more features. The audio output response describes one or more acoustic parameters perceived by the user. An individualized audio output response is generated for the user based on the audio output response, the individualized audio output response configured to adjust one or more acoustic parameters of audio content provided to the user by the headset.

Abstract: A system for generating individualized HRTFs that are customized to a user of a headset. The system includes a server and an audio system. The server determines the individualized HRTFs based in part on acoustic features data (e.g., image data, anthropometric features, etc.) of the user and a template HRTF. The server provides the individualized HRTFs to the audio system. The audio system presents spatialized audio content to the user using the individualized HRTFs.