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eess.AS2024
Dense-TSNet: Dense Connected Two-Stage Structure for Ultra-Lightweight Speech Enhancement
Zizhen Lin, Yuanle Li, Junyu Wang +1
Speech enhancement aims to improve speech quality and intelligibility in noisy environments. Recent advancements have concentrated on deep neural networks, particularly employing t…
cs.SD2024
MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement
Zizhen Lin, Xiaoting Chen, Junyu Wang
Achieving a balance between lightweight design and high performance remains a challenging task for speech enhancement. In this paper, we introduce Multi-path Enhanced Taylor (MET)…