90 citations · 282 across the 39 of their papers we have counts for
8 papers · 1 filter
SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations
Yirong Chen, Xiaofen Xing, Jingkai Lin +4
Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language m…
CorrTalk: Correlation Between Hierarchical Speech and Facial Activity Variances for 3D Animation
Zhaojie Chu, Kailing Guo, Xiaofen Xing +3
Speech-driven 3D facial animation is a challenging cross-modal task that has attracted growing research interest. During speaking activities, the mouth displays strong motions, whi…
BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT
Yirong Chen, Zhenyu Wang, Xiaofen Xing +8
Large language models (LLMs) have performed well in providing general and extensive health suggestions in single-turn conversations, exemplified by systems such as ChatGPT, ChatGLM…
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
Pucheng Zhai, Kailing Guo, Fang Liu +2
Structured pruning is a commonly used convolutional neural network (CNN) compression approach. Pruning rate setting is a fundamental problem in structured pruning. Most existing wo…
Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
Weidong Chen, Xiaofen Xing, Peihao Chen +1
This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intel…
DWFormer: Dynamic Window transFormer for Speech Emotion Recognition
Shuaiqi Chen, Xiaofen Xing, Weibin Zhang +2
Speech emotion recognition is crucial to human-computer interaction. The temporal regions that represent different emotions scatter in different parts of the speech locally. Moreov…