2 citations · 2 across the 1 of their papers we have counts for
3 papers
eess.AS2020
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing
Szu-Wei Fu, Chien-Feng Liao, Tsun-An Hsieh +9
The Transformer architecture has demonstrated a superior ability compared to recurrent neural networks in many different natural language processing applications. Therefore, our st…
cs.SD2019
Multichannel Speech Enhancement by Raw Waveform-mapping using Fully Convolutional Networks
Chang-Le Liu, Sze-Wei Fu, You-Jin Li +3
In recent years, waveform-mapping-based speech enhancement (SE) methods have garnered significant attention. These methods generally use a deep learning model to directly process a…
eess.IV2019★ 2 cited
Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
Sheng-Yong Niu, Lun-Zhang Guo, Yue Li +3
As the rapid growth of high-speed and deep-tissue imaging in biomedical research, it is urgent to find a robust and effective denoising method to retain morphological features for…