Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation

Ofir Yaish; Yehuda Mishaly; Eliya Nachmani

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arXiv · 2505.16911

Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation

Ofir Yaish·Yehuda Mishaly·Eliya Nachmani

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Abstract

We introduce a new paradigm for active sound modification: Active Speech Enhancement (ASE). While Active Noise Cancellation (ANC) algorithms focus on suppressing external interference, ASE goes further by actively shaping the speech signal -- both attenuating unwanted noise components and amplifying speech-relevant frequencies -- to improve intelligibility and perceptual quality. To enable this, we propose a novel Transformer-Mamba-based architecture, along with a task-specific loss function designed to jointly optimize interference suppression and signal enrichment. Our method outperforms existing baselines across multiple speech processing tasks -- including denoising, dereverberation, and declipping -- demonstrating the effectiveness of active, targeted modulation in challenging acoustic environments.

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BibTeX RIS

Ofir Yaish, Yehuda Mishaly, Eliya Nachmani. 2025-05-22. Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation. https://arxiv.org/abs/2505.16911

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