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arXiv · 2601.12354

Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion Models

Sina Khanagha·Bunlong Lay·Timo Gerkmann
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Abstract

Single-channel speech enhancement models face significant performance degradation in extremely noisy environments. While prior work has shown that complementary bone-conducted speech can guide enhancement, effective integration of this noise-immune modality remains a challenge. This paper introduces a novel multimodal speech enhancement framework that integrates bone-conduction sensors with air-conducted microphones using a conditional diffusion model. Our proposed model significantly outperforms previously established multimodal techniques and a powerful diffusion-based single-modal baseline across a wide range of acoustic conditions.

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Sina Khanagha, Bunlong Lay, Timo Gerkmann. 2026-01-18. Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion Models. https://arxiv.org/abs/2601.12354

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