1.5k citations · 3.3k across the 54 of their papers we have counts for
14 papers · 1 filter
Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion
Zongyang Du, Berrak Sisman, Kun Zhou +1
Expressive voice conversion performs identity conversion for emotional speakers by jointly converting speaker identity and emotional style. Due to the hierarchical structure of spe…
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou, Wayne Xin Zhao, Sirui Wang +3
Recent works have shown that powerful pre-trained language models (PLM) can be fooled by small perturbations or intentional attacks. To solve this issue, various data augmentation…
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top- Recommendation
Hui Wang, Kun Zhou, Wayne Xin Zhao +2
Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-…
Emotional Voice Conversion: Theory, Databases and ESD
Kun Zhou, Berrak Sisman, Rui Liu +1
In this paper, we first provide a review of the state-of-the-art emotional voice conversion research, and the existing emotional speech databases. We then motivate the development…
Learning Efficient Photometric Feature Transform for Multi-view Stereo
Kaizhang Kang, Cihui Xie, Ruisheng Zhu +4
We present a novel framework to learn to convert the perpixel photometric information at each view into spatially distinctive and view-invariant low-level features, which can be pl…
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
He Wang, Feixiang He, Zhexi Peng +4
Action recognition has been heavily employed in many applications such as autonomous vehicles, surveillance, etc, where its robustness is a primary concern. In this paper, we exami…