23 citations · 33 across the 14 of their papers we have counts for
4 papers · 1 filter
MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement
Jianrong Wang, Xiaomin Li, Xuewei Li +3
Speech enhancement improves speech quality and promotes the performance of various downstream tasks. However, most current speech enhancement work was mainly devoted to improving t…
Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature
Jianrong Wang, Jinyu Liu, Longxuan Zhao +3
Acoustic-to-articulatory inversion (AAI) is to obtain the movement of articulators from speech signals. Until now, achieving a speaker-independent AAI remains a challenge given the…
Residual-guided Personalized Speech Synthesis based on Face Image
Jianrong Wang, Zixuan Wang, Xiaosheng Hu +3
Previous works derive personalized speech features by training the model on a large dataset composed of his/her audio sounds. It was reported that face information has a strong lin…
Decoupling Makes Weakly Supervised Local Feature Better
Kunhong Li, Longguang Wang, Li Liu +3
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences. However, since weak supe…