34 citations · 195 across the 59 of their papers we have counts for
7 papers · 1 filter
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Ke Chen, Xingjian Du, Bilei Zhu +3
Deep learning techniques for separating audio into different sound sources face several challenges. Standard architectures require training separate models for different types of a…
Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation
Jingning Xu, Benlai Tang, Mingjie Wang +4
Clothes style transfer for person video generation is a challenging task, due to drastic variations of intra-person appearance and video scenarios. To tackle this problem, most rec…
Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Pengfei Wu, Junjie Pan, Chenchang Xu +4
In expressive speech synthesis, there are high requirements for emotion interpretation. However, it is time-consuming to acquire emotional audio corpus for arbitrary speakers due t…
Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding
Chao Wang, Zhonghao Li, Benlai Tang +4
Recently, phonetic posteriorgrams (PPGs) based methods have been quite popular in non-parallel singing voice conversion systems. However, due to the lack of acoustic information in…
Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
Shaoshi Ling, Chen Shen, Meng Cai +1
In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results. In this paper, we propose…
Attention-based cross-modal fusion for audio-visual voice activity detection in musical video streams
Yuanbo Hou, Zhesong Yu, Xia Liang +4
Many previous audio-visual voice-related works focus on speech, ignoring the singing voice in the growing number of musical video streams on the Internet. For processing diverse mu…
HMM-Free Encoder Pre-Training for Streaming RNN Transducer
Lu Huang, Jingyu Sun, Yufeng Tang +4
This work describes an encoder pre-training procedure using frame-wise label to improve the training of streaming recurrent neural network transducer (RNN-T) model. Streaming RNN-T…