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arXiv · 2401.08717

Robust DOA estimation using deep acoustic imaging

Adrian S. Roman·Iran R. Roman·Juan P. Bello
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Abstract

Direction of arrival estimation (DoAE) aims at tracking a sound in azimuth and elevation. Recent advancements include data-driven models with inputs derived from ambisonics intensity vectors or correlations between channels in a microphone array. A spherical intensity map (SIM), or acoustic image, is an alternative input representation that remains underexplored. SIMs benefit from high-resolution microphone arrays, yet most DoAE datasets use low-resolution ones. Therefore, we first propose a super-resolution method to upsample low-resolution microphones. Next, we benchmark DoAE models that use SIMs as input. We arrive to a model that uses SIMs for DoAE estimation and outperforms a baseline and a state-of-the-art model. Our study highlights the relevance of acoustic imaging for DoAE tasks.

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Adrian S. Roman, Iran R. Roman, Juan P. Bello. 2024-01-16. Robust DOA estimation using deep acoustic imaging. https://arxiv.org/abs/2401.08717

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