514 citations · 751 across the 9 of their papers we have counts for
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cs.SD2019★ 117 cited
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao +1
Adversarial loss in a conditional generative adversarial network (GAN) is not designed to directly optimize evaluation metrics of a target task, and thus, may not always guide the…
cs.SD2019★ 80 cited
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
Utilizing a human-perception-related objective function to train a speech enhancement model has become a popular topic recently. The main reason is that the conventional mean squar…
cs.SD2018★ 15 cited
Noise Adaptive Speech Enhancement using Domain Adversarial Training
Chien-Feng Liao, Yu Tsao, Hung-Yi Lee +1
In this study, we propose a novel noise adaptive speech enhancement (SE) system, which employs a domain adversarial training (DAT) approach to tackle the issue of a noise type mism…