56 citations · 141 across the 21 of their papers we have counts for
5 papers · 1 filter
MoEVC: A Mixture-of-experts Voice Conversion System with Sparse Gating Mechanism for Accelerating Online Computation
Yu-Tao Chang, Yuan-Hong Yang, Yu-Huai Peng +4
With the recent advancements of deep learning technologies, the performance of voice conversion (VC) in terms of quality and similarity has been significantly improved. However, he…
Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm
Wei-Jen Lee, Syu-Siang Wang, Fei Chen +3
Reverberation, which is generally caused by sound reflections from walls, ceilings, and floors, can result in severe performance degradation of acoustic applications. Due to a comp…
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai +3
Speech enhancement (SE) aims to reduce noise in speech signals. Most SE techniques focus only on addressing audio information. In this work, inspired by multimodal learning, which…
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai +3
Speech enhancement (SE) aims to reduce noise in speech signals. Most SE techniques focus only on addressing audio information. In this work, inspired by multimodal learning, which…
Wavelet speech enhancement based on nonnegative matrix factorization
Syu-Siang Wang, Alan Chern, Yu Tsao +4
For most of the state-of-the-art speech enhancement techniques, a spectrogram is usually preferred than the respective time-domain raw data since it reveals more compact presentati…