Loading…
Schedule as of Oct 11, 2022 - subject to change

Default Time Zone is EDT - Eastern Daylight Time


Wednesday, October 26 • 4:15pm - 4:30pm
Binaural Externalization Processing - from Stereo to Object-Based Audio

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

In both entertainment and professional applications, conventionally produced stereo or multi-channel audio is increasingly delivered over headphones or earbuds. Use cases involving object-based binaural audio rendering include recently developed immersive multi-channel audio distribution formats, along with the accelerating deployment of virtual or augmented reality applications and head-mounted displays. The appreciation of these listening experiences by end-users may be compromised by an unnatural perception of the localization of frontal audio objects: commonly heard near or inside the listener's head even when their specified position is distant. This artifact may persist despite the provision of perceptual cues that have been known to partially mitigate it, including artificial acoustic reflections or reverberation, head-tracking, personalized HRTF processing, or reinforcing visual information. In this paper, we review previously reported methods for binaural audio externalization processing, and extend a recently proposed approach to address object-based audio rendering.

Speakers
avatar for Jean-Marc Jot

Jean-Marc Jot

Founder and Principal, Virtuel Works LLC
Spatial audio and music technology expert and innovator. Virtuel Works provides audio technology strategy, IP creation and licensing services to help accelerate the development of audio and music spatial computing technology and interoperability solutions.
avatar for Alexey Lukin

Alexey Lukin

Prinicipal DSP Engineer, iZotope Inc
Alexey specializes in audio signal processing, with particular interest in similarities with image processing in spectral analysis, noise reduction, and multiresolution filter banks. He earned his M.S. (2003) and Ph.D. (2006) in computer science from Lomonosov Moscow State University... Read More →
avatar for Christopher Landschoot

Christopher Landschoot

Machine Learning Engineer, Whitebalance
Chris' work bridges the gap between music, audio, acoustics, and technology. Chris works as a machine learning engineer developing cutting-edge audio AI technologies and is an avid musician who writes and produces his own music. He also has previous experience working as an acoustician... Read More →


Wednesday October 26, 2022 4:15pm - 4:30pm EDT
Online Papers
  Spatial Audio
  • badge type: ALL ACCESS or ONLINE