6 citations · 11 across the 13 of their papers we have counts for
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eess.AS2023
A Deep Representation Learning-based Speech Enhancement Method Using Complex Convolution Recurrent Variational Autoencoder
Yang Xiang, Jingguang Tian, Xinhui Hu +2
Generally, the performance of deep neural networks (DNNs) heavily depends on the quality of data representation learning. Our preliminary work has emphasized the significance of de…
eess.AS2023
LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement
Zili Qi, Xinhui Hu, Wangjin Zhou +4
Recently, researchers have shown an increasing interest in automatically predicting the subjective evaluation for speech synthesis systems. This prediction is a challenging task, e…
cs.SD2023★ 1 cited
Large-Scale Learning on Overlapped Speech Detection: New Benchmark and New General System
Zhaohui Yin, Jingguang Tian, Xinhui Hu +2
Overlapped Speech Detection (OSD) is an important part of speech applications involving analysis of multi-party conversations. However, most of existing OSD systems are trained and…