no code implementations • 16 Mar 2024 • Fan Zhang, Zhaohan Wang, Xin Lyu, Siyuan Zhao, Mengjian Li, Weidong Geng, Naye Ji, Hui Du, Fuxing Gao, Hao Wu, Shunman Li
Finally, we employ the diffusion model to train and infer various gestures.
no code implementations • 11 Aug 2023 • Fan Zhang, Naye Ji, Fuxing Gao, Siyuan Zhao, Zhaohan Wang, Shunman Li
Firstly, considering that speech audio not only contains acoustic and semantic features but also conveys personality traits, emotions, and more subtle information related to accompanying gestures, we pioneer the adaptation of WavLM, a large-scale pre-trained model, to extract low-level and high-level audio information.
no code implementations • 25 Nov 2017 • Siyuan Zhao, Zhiwei Xu, Limin Liu, Mengjie Guo
In order to effectively identify deceptive opinions, we need to comprehensively study the characteristics of deceptive opinions, and explore novel characteristics besides the textual semantics and emotional polarity that have been widely used in text analysis.
no code implementations • 6 Dec 2016 • Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan, Vivek Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri
We introduce condensed memory neural networks (C-MemNNs), a novel model with iterative condensation of memory representations that preserves the hierarchy of features in the memory.