Meta Platforms Technologies, LLC

Michaela Warnecke

William Owen Brimijoin, Ii

Nava K Balsam

Tomasz Rudzki

Peter Harty Dodds

Kevin Scheumann

Samuel Clapp

Ryan Rohrer

Dianmin Lin

Ana Garcia Puyol

Sebastià Vicenç Amegnual Gari

Andrew Francl

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.

Dynamic time and level difference rendering for audio spatialization

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.

Personalization of head-related transfer function

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.

Communication in an artificial reality device due to predicted acquaintance interception

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Somerville, MA, United States of America

Michaela Warnecke