Abstract: An audio system includes a plurality of transducers, one or more acoustic sensors, and a controller. The plurality of transducers transmits an ultrasonic beam towards an ear of a user. The one or more acoustic sensors detect a reflected signal generated by an interaction of the ultrasonic beam with the ear. The controller updates a three-dimensional geometry of the ear based on the reflected signal. The controller determines a head-related transfer function (HRTF) for the user based in part on the three-dimensional geometry of the ear.

Abstract: A system is disclosed for using an audio time and level difference renderer (TLDR) to generate spatialized audio content for multiple channels from an audio signal received at a single channel. The system selects an audio TLDR from a set of audio TLDRs based on received input parameters. The system configures the selected audio TLDR based on received input parameters using a filter parameter model to generate a configured audio TLDR that comprises a set of configured binaural dynamic filters, and a configured delay between the multiple channel. The system applies the configured audio TLDR to an audio signal received at the single channel to generate spatialized multiple channel audio content for each channel of the multiple audio channel and presents the generated spatialized audio content at multiple channels to a user via a headset.

Abstract: Embodiments relate to personalization of a head-related transfer function (HRTF) for a given user. A sound source is spatialized for an initial position using an initial version of a HRTF to obtain an initial spatialized sound source. Upon presentation of the initial spatialized sound source, at least one property of the HRTF is adjusted in an iterative manner based on at least one perceptive response from the user to generate a version of the HRTF customized for the user. Each perceptive response from the user indicates a respective offset between a perceived position and a target position of the sound source. The customized version of the HRTF is applied to one or more audio channels to form spatialized audio content for the perceived position. The spatialized audio content is presented to the user, wherein the offset between the perceived position and the target position is reduced.

Abstract: Methods, systems, and storage media for initiating communication between artificial reality devices are disclosed. Exemplary implementations may: enable a discovery setting by a first user wearing a first artificial reality device; detect a presence of at least a second user wearing a second artificial reality device; determine a familiarity level of the first user with the second user; and in response to the familiarity level breaching a familiarity threshold, initiate a call with the second artificial reality device by the first artificial reality device, the call including an interaction in an artificial reality environment accessed via the first artificial reality device and the second artificial reality device.

Abstract: Methods, systems, and storage media for eye tracking in artificial reality (e.g., virtual reality, augmented reality, mixed reality, etc.) headsets are disclosed. Exemplary implementations may: generate a simulated environment for a user through an artificial reality headset; track an eye of the user through an eye sensor responsive to the artificial reality headset being worn by the user; detect a physical aspect of the eye through the eye sensor indicative of an eye malady; and adjust a display setting of the artificial reality headset based at least in part on the detected physical aspect of the eye.

Abstract: A system is disclosed for using an audio time and level difference renderer (TLDR) to generate spatialized audio content for multiple channels from an audio signal received at a single channel. The system selects an audio TLDR from a set of audio TLDRs based on received input parameters. The system configures the selected audio TLDR based on received input parameters using a filter parameter model to generate a configured audio TLDR that comprises a set of configured binaural dynamic filters, and a configured delay between the multiple channel. The system applies the configured audio TLDR to an audio signal received at the single channel to generate spatialized multiple channel audio content for each channel of the multiple audio channel and presents the generated spatialized audio content at multiple channels to a user via a headset.

Abstract: An audio system includes a plurality of transducers, one or more acoustic sensors, and a controller. The plurality of transducers transmits an ultrasonic beam towards an ear of a user. The one or more acoustic sensors detect a reflected signal generated by an interaction of the ultrasonic beam with the ear. The controller updates a three-dimensional geometry of the ear based on the reflected signal. The controller determines a head-related transfer function (HRTF) for the user based in part on the three-dimensional geometry of the ear.

Abstract: A system is disclosed for using an audio time and level difference renderer (TLDR) to generate spatialized audio content for multiple channels from an audio signal received at a single channel. The system selects an audio TLDR from a set of audio TLDRs based on received input parameters. The system configures the selected audio TLDR based on received input parameters using a filter parameter model to generate a configured audio TLDR that comprises a set of configured binaural dynamic filters, and a configured delay between the multiple channel. The system applies the configured audio TLDR to an audio signal received at the single channel to generate spatialized multiple channel audio content for each channel of the multiple audio channel and presents the generated spatialized audio content at multiple channels to a user via a headset.

Abstract: Embodiments relate to an audio system for various artificial reality applications. The audio system performs large scale filter optimization for audio rendering, preserving spatial and intra-population characteristics using neural networks. Further, the audio system performs adaptive hearing enhancement-aware binaural rendering. The audio includes an in-ear device with an inertial measurement unit (IMU) and a camera. The camera captures image data of a local area, and the image data is used to correct for IMU drift. In some embodiments, the audio system calculates a transducer to ear response for an individual ear using an equalization prediction or acoustic simulation framework. Individual ear pressure fields as a function of frequency are generated. Frequency-dependent directivity patterns of the transducers are characterized in the free field. In some embodiments, the audio system includes a headset and one or more removable audio apparatuses for enhancing acoustic features of the headset.

Abstract: A system is disclosed for using an audio time and level difference renderer (TLDR) to generate spatialized audio content for multiple channels from an audio signal received at a single channel. The system selects an audio TLDR from a set of audio TLDRs based on received input parameters. The system configures the selected audio TLDR based on received input parameters using a filter parameter model to generate a configured audio TLDR that comprises a set of configured binaural dynamic filters, and a configured delay between the multiple channel. The system applies the configured audio TLDR to an audio signal received at the single channel to generate spatialized multiple channel audio content for each channel of the multiple audio channel and presents the generated spatialized audio content at multiple channels to a user via a headset.