iMagLS: Interaural Level Difference with Magnitude Least-Squares Loss for Optimized First-Order Head-Related Transfer Function
arxiv(2023)
摘要
Binaural reproduction for headphone-based listening is an active research
area due to its widespread use in evolving technologies such as augmented and
virtual reality (AR and VR). On the one hand, these applications demand high
quality spatial audio perception to preserve the sense of immersion. On the
other hand, recording devices may only have a few microphones, leading to
low-order representations such as first-order Ambisonics (FOA). However,
first-order Ambisonics leads to limited externalization and spatial resolution.
In this paper, a novel head-related transfer function (HRTF) preprocessing
optimization loss is proposed, and is minimized using nonlinear programming.
The new method, denoted iMagLS, involves the introduction of an interaural
level difference (ILD) error term to the now widely used MagLS optimization
loss for the lateral plane angles. Results indicate that the ILD error could be
substantially reduced, while the HRTF magnitude error remains similar to that
obtained with MagLS. These results could prove beneficial to the overall
spatial quality of first-order Ambisonics, while other reproduction methods
could also benefit from considering this modified loss.
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