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20242026
most citedDBHN-Net: Dual-Branch Hybrid Neural Network For Low-Complexity Monaural Speech Enhancement

2 citations · 2 across the 11 of their papers we have counts for

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eess.AS2025

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction

Cunhang Fan, Ying Chen, Jian Zhou +6

The brain-assisted target speaker extraction (TSE) aims to extract the attended speech from mixed speech by utilizing the brain neural activities, for example Electroencephalograph…

eess.AS2024

LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement

Haoyin Yan, Jie Zhang, Cunhang Fan +2

Speech enhancement (SE) aims to extract the clean waveform from noise-contaminated measurements to improve the speech quality and intelligibility. Although learning-based methods c…