UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement
via Neural Architecture Search

Xiaobin Rong, Dahan Wang, Yuxiang Hu, Changbao Zhu, Kai Chen, Jing Lu

Nanjing University | NJU-Horizon Intelligent Audio Lab, Horizon Robotics

Code ArXiv

Noisy signal Enhanced signal by GTCRN [1] Enhanced signal by UL-UNAS Clean signal
Noisy 0043
GTCRN Enhanced 0043
UL-UNAS Enhanced 0043
Clean 0043
Noisy 0066
GTCRN Enhanced 0066
UL-UNAS Enhanced 0066
Clean 0066
Noisy 0106
GTCRN Enhanced 0106
UL-UNAS Enhanced 0106
Clean 0106
Noisy 0119
GTCRN Enhanced 0119
UL-UNAS Enhanced 0119
Clean 0119
Noisy 0121
GTCRN Enhanced 0121
UL-UNAS Enhanced 0121
Clean 0121
Noisy 0149
GTCRN Enhanced 0149
UL-UNAS Enhanced 0149
Clean 0149
Noisy 0169
GTCRN Enhanced 0169
UL-UNAS Enhanced 0169
Clean 0169
Noisy 0170
GTCRN Enhanced 0170
UL-UNAS Enhanced 0170
Clean 0170
Noisy 0174
GTCRN Enhanced 0174
UL-UNAS Enhanced 0174
Clean 0174

[1] Rong, X., Sun, T., Zhang, X., Hu, Y., Zhu, C., Lu, J., 2024. GTCRN: A Speech Enhancement Model Requiring Ultralow Computational Resources, in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 971–975.