Abstract: A system can include a position sensor configured to output position data of a HWD. The system can include one or more processors configured to identify a first head angle of the HWD using the position sensor, generate an audio signal using the first head angle, identify a second head angle of the HWD using the position sensor, determine an angle error based at least on the first head angle and the second head angle, and apply at least one of a time difference or a level difference to the audio signal based at least on the angle error to adjust the audio signal. The system can include an audio output device configured to output the adjusted audio signal. By adjusting the audio signal using the angle error, the system can correct for long spatial update latencies and reduce the perceptual impact of such latencies for the user.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing multiple modalities to generate accurate two-dimensional floorplans based on sparse digital videos depicting three-dimensional space. In particular, in one or more embodiments, the disclosed systems extract both visual and audio information from sparse digital video coverage of portions of a three-dimensional space and utilize the extracted visual and audio information to generate a two-dimensional floorplan representing both viewed and unviewed portions of the three-dimensional space. For example, the disclosed systems utilize self-attention layers of a specialized machine learning model to maintain and leverage bi-directional relationships among sequences of visual and audio features to generate floorplan predictions associated with the three-dimensional space.

Abstract: A system for dynamically updating a head-related transfer function (HRTF) model that is customized to a user. The system receives one or more images of the user captured by one or more imaging devices. The system determines a pose of the user using the one or more captured images. The pose of the user includes a head-torso orientation of the user. The system updates a HRTF model for the user based on the determined pose including the head-torso orientation. The system generates one or more sound filters using the updated HRTF model and applies the one or more sound filters to audio content to generate spatialized audio content. The system provides the spatialized audio content to the user.

Abstract: A plurality of modal parameters is estimated for a set of discrete locations within a local area using a set of room impulse responses for the set of discrete locations. The local area includes an audio system. A plurality of acoustic model parameters is generated by fitting the plurality of modal parameters to an acoustic model that accounts for a physical geometry of the local area. The plurality of acoustic model parameters and an indication about the acoustic model are stored for later use by the audio system. The audio system estimates the set of acoustic parameters using the plurality of acoustic model parameters and the indication about the acoustic model, and presents audio content using the set of acoustic parameters.

Abstract: An audio system includes an equatorial acoustic sensor array (EASA) that may be coupled to an object. The audio system is configured to detect, via the EASA, signals corresponding to a portion of a sound field in a local area. The detected signals are converted into a plurality of corresponding abstract representations that describe the portion of the sound field. Effects of scattering of the object are removed from the abstract representations to create adjusted abstract representations. A set of spherical harmonic (SH) coefficients is determined using the adjusted abstract representations. The set of SH coefficients describe an entirety of the sound field. And the set of SH coefficients and head related transfer functions of a user are used for binaural rendering of the reconstructed sound field to the user.

Abstract: Determination of a set of acoustic parameters for a headset is presented herein. The set of acoustic parameters can be determined based on a virtual model of physical locations stored at a mapping server. The virtual model describes a plurality of spaces and acoustic properties of those spaces, wherein the location in the virtual model corresponds to a physical location of the headset. A location in the virtual model for the headset is determined based on information describing at least a portion of the local area received from the headset. The set of acoustic parameters associated with the physical location of the headset is determined based in part on the determined location in the virtual model and any acoustic parameters associated with the determined location. The headset presents audio content using the set of acoustic parameters received from the mapping server.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing multiple modalities to generate accurate two-dimensional floorplans based on sparse digital videos depicting three-dimensional space. In particular, in one or more embodiments, the disclosed systems extract both visual and audio information from sparse digital video coverage of portions of a three-dimensional space and utilize the extracted visual and audio information to generate a two-dimensional floorplan representing both viewed and unviewed portions of the three-dimensional space. For example, the disclosed systems utilize self-attention layers of a specialized machine learning model to maintain and leverage bi-directional relationships among sequences of visual and audio features to generate floorplan predictions associated with the three-dimensional space.

Abstract: A system for dynamically updating a head-related transfer function (HRTF) model that is customized to a user. The system receives one or more images of the user captured by one or more imaging devices. The system determines a pose of the user using the one or more captured images. The pose of the user includes a head-torso orientation of the user. The system updates a HRTF model for the user based on the determined pose including the head-torso orientation. The system generates one or more sound filters using the updated HRTF model and applies the one or more sound filters to audio content to generate spatialized audio content. The system provides the spatialized audio content to the user.

Abstract: A system for dynamically updating a head-related transfer function (HRTF) model that is customized to a user. The system receives one or more images of the user captured by one or more imaging devices. The system determines a pose of the user using the one or more captured images. The pose of the user includes a head-torso orientation of the user. The system updates a HRTF model for the user based on the determined pose including the head-torso orientation. The system generates one or more sound filters using the updated HRTF model and applies the one or more sound filters to audio content to generate spatialized audio content. The system provides the spatialized audio content to the user.

Abstract: Determination of an acoustic filter for incorporating local effects of room modes within a target area is presented herein. A model of the target area is determined based in part on a three-dimensional virtual representation of the target area. In some embodiments, the model is selected from a group of candidate models. Room modes of the target area are determined based on a shape and/or dimensions of the model. The room mode parameters are determined based on at least one of the room modes and the position of a user within the target area. The room mode parameters describe an acoustic filter that as applied to audio content, simulates acoustic distortion at the position of the user and at frequencies associated with the at least one room mode. The acoustic filter is generated at a headset based on the room mode parameter and is used to present audio content.

Abstract: Determination of a set of acoustic parameters for a headset is presented herein. The set of acoustic parameters can be determined based on a virtual model of physical locations stored at a mapping server. The virtual model describes a plurality of spaces and acoustic properties of those spaces, wherein the location in the virtual model corresponds to a physical location of the headset. A location in the virtual model for the headset is determined based on information describing at least a portion of the local area received from the headset. The set of acoustic parameters associated with the physical location of the headset is determined based in part on the determined location in the virtual model and any acoustic parameters associated with the determined location. The headset presents audio content using the set of acoustic parameters received from the mapping server.

Abstract: Determination of a set of acoustic parameters for a headset is presented herein. The set of acoustic parameters can be determined based on a virtual model of physical locations stored at a mapping server. The virtual model describes a plurality of spaces and acoustic properties of those spaces, wherein the location in the virtual model corresponds to a physical location of the headset. A location in the virtual model for the headset is determined based on information describing at least a portion of the local area received from the headset. The set of acoustic parameters associated with the physical location of the headset is determined based in part on the determined location in the virtual model and any acoustic parameters associated with the determined location. The headset presents audio content using the set of acoustic parameters received from the mapping server.

Abstract: A headset generates an output audio signal to provide a virtual sound source for an object or virtual object by using a room impulse response generated by a simulation using a model of a room generated from image data. The headset may include processing circuitry that obtains the model of the room determined based on the image data. The image data includes depth image data from a depth camera assembly and color image data from a color camera. The model includes surfaces of the room and acoustic absorptions of the surfaces. The processing circuitry adjusts audio content presented by the headset based on a room impulse response determined based on one or more simulations of sound propagation between a target position of an object and a position of the headset within the room using the surfaces of the room and the acoustic absorptions of the surfaces.

Abstract: A system can include a position sensor configured to output position data of a HWD. The system can include one or more processors configured to identify a first head angle of the HWD using the position sensor, generate an audio signal using the first head angle, identify a second head angle of the HWD using the position sensor, determine an angle error based at least on the first head angle and the second head angle, and apply at least one of a time difference or a level difference to the audio signal based at least on the angle error to adjust the audio signal. The system can include an audio output device configured to output the adjusted audio signal. By adjusting the audio signal using the angle error, the system can correct for long spatial update latencies and reduce the perceptual impact of such latencies for the user.

Abstract: A computing device, such as a headset, provides for selective sound level reduction or sound level amplification for sounds made in a local area. The computing device includes a speaker assembly and a controller. The controller receives an audio signal from a second computing device, such as a second headset, via a wireless connection with the computing device. The audio signal describes a sound made by a user of the second computing device. The audio signal arrives at the computing device prior to the sound. The controller determines an audio filter to selectively adjust an amplitude of the sound and applies the audio filter to the audio signal to generate audio content. The controller presents, via the speaker assembly, the audio content to a user such that the presented audio content combines with the sound to selectively adjust the amplitude of the sound.

Abstract: A system for dynamically updating a head-related transfer function (HRTF) model that is customized to a user. The system receives one or more images of the user captured by one or more imaging devices. The system determines a pose of the user using the one or more captured images. The pose of the user includes a head-torso orientation of the user. The system updates a HRTF model for the user based on the determined pose including the head-torso orientation. The system generates one or more sound filters using the updated HRTF model and applies the one or more sound filters to audio content to generate spatialized audio content. The system provides the spatialized audio content to the user.

Abstract: An audio system on a headset presents, to a user, audio content simulating a target artificial reality environment. The system receives audio content from an environment and analyzes the audio content to determine a set of acoustic properties associated with the environment. The audio content may be user generated or ambient sound. After receiving a set of target acoustic properties for a target environment, the system determines a transfer function by comparing the set of acoustic properties and the target environment's acoustic properties. The system adjusts the audio content based on the transfer function and presents the adjusted audio content to the user. The presented adjusted audio content includes one or more of the target acoustic properties for the target environment.

Abstract: Determination of an acoustic filter for incorporating local effects of room modes within a target area is presented herein. A model of the target area is determined based in part on a three-dimensional virtual representation of the target area. In some embodiments, the model is selected from a group of candidate models. Room modes of the target area are determined based on a shape and/or dimensions of the model. The room mode parameters are determined based on at least one of the room modes and the position of a user within the target area. The room mode parameters describe an acoustic filter that as applied to audio content, simulates acoustic distortion at the position of the user and at frequencies associated with the at least one room mode. The acoustic filter is generated at a headset based on the room mode parameter and is used to present audio content.

Abstract: A system generates an output audio signal for an object or virtual object using image data of a room to select a room impulse response from a database. A headset may include a depth camera assembly (DCA) and processing circuitry. The DCA generates depth image data of a room. The processing circuitry determines room parameters such as the dimensions of the room based on the depth image data. A room impulse response for the room is determined based on referencing a database of room impulse responses using the room parameters. An output audio signal is generated by convolving a source audio signal of an object with the room impulse response.

Abstract: An audio system on a headset presents, to a user, audio content simulating a target artificial reality environment. The system receives audio content from an environment and analyzes the audio content to determine a set of acoustic properties associated with the environment. The audio content may be user generated or ambient sound. After receiving a set of target acoustic properties for a target environment, the system determines a transfer function by comparing the set of acoustic properties and the target environment's acoustic properties. The system adjusts the audio content based on the transfer function and presents the adjusted audio content to the user. The presented adjusted audio content includes one or more of the target acoustic properties for the target environment.