262 citations · 295 across the 8 of their papers we have counts for
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eess.AS2020★ 1 cited
Lite Audio-Visual Speech Enhancement
Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo +1
Previous studies have confirmed the effectiveness of incorporating visual information into speech enhancement (SE) systems. Despite improved denoising performance, two problems may…
eess.AS2020★ 29 cited
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang, Hao Luo, Hsin-Te Hwang +4
An effective approach for voice conversion (VC) is to disentangle linguistic content from other components in the speech signal. The effectiveness of variational autoencoder (VAE)…