Binaural Signal Matching with Wearable Arrays for Near-Field Sources and Directional Focus
Sapir Goldring, Zamir Ben Hur, David Lou Alon, Chad McKell, Sebastian Prepelita, Boaz Rafaely

TL;DR
This paper enhances binaural signal matching for near-field sound sources using wearable arrays by incorporating distance and directional weighting, leading to improved perceptual and objective quality in near-field scenarios.
Contribution
It introduces a Field of View weighting in near-field BSM, improving robustness and performance for near-field sound reproduction with wearable arrays.
Findings
NF-BSM outperforms far-field BSM in near-field conditions
NF-FoV-BSM achieves the best perceptual and objective quality
Incorporating source distance and directional weighting improves binaural reproduction
Abstract
This paper investigates the performance of Binaural Signal Matching (BSM) methods for near-field sound reproduction using a wearable glasses-mounted microphone array. BSM is a flexible, signal-independent approach for binaural rendering with arbitrary arrays, but its conventional formulation assumes far-field sources. In our previous work, we proposed a near-field extension of BSM (NF-BSM) that incorporates distance-dependent modeling and showed improved performance over far-field BSM using analytic data, though degradation persisted for sources very close to the array. In this study, we extend that analysis by using realistic simulated data of near-field Head-Related Transfer Functions (HRTFs) and Acoustic Transfer Functions (ATFs) of the array, accounting for listener head rotation and evaluating binaural cues such as interaural level and time differences (ILD and ITD). A key…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
