35 citations · 119 across the 22 of their papers we have counts for
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stat.ML2017★ 20 cited
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Szu-Wei Fu, Tao-Wei Wang, Yu Tsao +2
Speech enhancement model is used to map a noisy speech to a clean speech. In the training stage, an objective function is often adopted to optimize the model parameters. However, i…
stat.ML2017★ 35 cited
Raw Waveform-based Speech Enhancement by Fully Convolutional Networks
Szu-Wei Fu, Yu Tsao, Xugang Lu +1
This study proposes a fully convolutional network (FCN) model for raw waveform-based speech enhancement. The proposed system performs speech enhancement in an end-to-end (i.e., wav…