6 citations · 21 across the 8 of their papers we have counts for
8 papers
learning discriminative features from spectrograms using center loss for speech emotion recognition
Dongyang Dai, Zhiyong Wu, Runnan Li +3
Identifying the emotional state from speech is essential for the natural interaction of the machine with the speaker. However, extracting effective features for emotion recognition…
A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysis
Xianhao Wei, Jia Jia, Xiang Li +2
This paper explores predicting suitable prosodic features for fine-grained emotion analysis from the discourse-level text. To obtain fine-grained emotional prosodic features as pre…
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer
Liyang Chen, Zhiyong Wu, Runnan Li +4
Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotono…
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation
Sicheng Yang, Zhiyong Wu, Minglei Li +4
Speech-driven gesture generation is highly challenging due to the random jitters of human motion. In addition, there is an inherent asynchronous relationship between human speech a…
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
Sicheng Yang, Zhiyong Wu, Minglei Li +5
The art of communication beyond speech there are gestures. The automatic co-speech gesture generation draws much attention in computer animation. It is a challenging task due to th…
Study on Feature Subspace of Archetypal Emotions for Speech Emotion Recognition
Xi Ma, Zhiyong Wu, Jia Jia +3
Feature subspace selection is an important part in speech emotion recognition. Most of the studies are devoted to finding a feature subspace for representing all emotions. However,…
Measuring and Maximizing Influence via Random Walk in Social Activity Networks
Pengpeng Zhao, Yongkun Li, Hong Xie +3
With the popularity of OSNs, finding a set of most influential users (or nodes) so as to trigger the largest influence cascade is of significance. For example, companies may take a…
Feature Learning with Gaussian Restricted Boltzmann Machine for Robust Speech Recognition
Xin Zheng, Zhiyong Wu, Helen Meng +2
In this paper, we first present a new variant of Gaussian restricted Boltzmann machine (GRBM) called multivariate Gaussian restricted Boltzmann machine (MGRBM), with its definition…