Feasibility of iMagLS-BSM - ILD Informed Binaural Signal Matching with Arbitrary Microphone Arrays

Binaural reproduction for headphone-centric listening has become a focal point in ongoing research, particularly within the realm of advancing technologies such as augmented and virtual reality (AR and VR). The demand for high-quality spatial audio in these applications is essential to uphold a seamless sense of immersion. However, challenges arise from wearable recording devices equipped with only a limited number of microphones and irregular microphone placements due to design constraints. These factors contribute to limited reproduction quality compared to reference signals captured by high-order microphone arrays. This paper introduces a novel optimization loss tailored for a beamforming-based, signal-independent binaural reproduction scheme. This method, named iMagLS-BSM incorporates an interaural level difference (ILD) error term into the previously proposed binaural signal matching (BSM) magnitude least squares (MagLS) rendering loss for lateral plane angles. The method leverages nonlinear programming to minimize the introduced loss. Preliminary results show a substantial reduction in ILD error, while maintaining a binaural magnitude error comparable to that achieved with a MagLS BSM solution. These findings hold promise for enhancing the overall spatial quality of resultant binaural signals.

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Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/iwaenc61483.2024.10694218
Citations
1
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.35
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article

Feasibility of iMagLS-BSM - ILD Informed Binaural Signal Matching with Arbitrary Microphone Arrays

Boaz Rafaely, Zamir Ben-Hur, Or Berebi, David Lou Alon
1 citations
Speech and Audio Processing
0.35
article

Feasibility of iMagLS-BSM - ILD Informed Binaural Signal Matching with Arbitrary Microphone Arrays

Boaz Rafaely, Zamir Ben-Hur, Or Berebi, David Lou Alon
article en
1 citations

Abstract

Binaural reproduction for headphone-centric listening has become a focal point in ongoing research, particularly within the realm of advancing technologies such as augmented and virtual reality (AR and VR). The demand for high-quality spatial audio in these applications is essential to uphold a seamless sense of immersion. However, challenges arise from wearable recording devices equipped with only a limited number of microphones and irregular microphone placements due to design constraints. These factors contribute to limited reproduction quality compared to reference signals captured by high-order microphone arrays. This paper introduces a novel optimization loss tailored for a beamforming-based, signal-independent binaural reproduction scheme. This method, named iMagLS-BSM incorporates an interaural level difference (ILD) error term into the previously proposed binaural signal matching (BSM) magnitude least squares (MagLS) rendering loss for lateral plane angles. The method leverages nonlinear programming to minimize the introduced loss. Preliminary results show a substantial reduction in ILD error, while maintaining a binaural magnitude error comparable to that achieved with a MagLS BSM solution. These findings hold promise for enhancing the overall spatial quality of resultant binaural signals.

Ben-Gurion University of the Negev (IL)
Openalex Percentile: Top 44%
Speech and Audio Processing
0.35
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Feasibility of iMagLS-BSM - ILD Informed Binaural Signal Matching with Arbitrary Microphone Arrays — Boaz Rafaely, Zamir Ben-Hur, et al. · (2024) | TGRS Research Map | TGRS