47 citations · 59 across the 5 of their papers we have counts for
5 papers
Speech-based Clinical Depression Screening: An Empirical Study
Yangbin Chen, Chenyang Xu, Chunfeng Liang +2
This study investigates the utility of speech signals for AI-based depression screening across varied interaction scenarios, including psychiatric interviews, chatbot conversations…
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
Yangbin Chen, Chunfeng Liang
Expressing empathy is important in everyday conversations, and exploring how empathy arises is crucial in automatic response generation. Most previous approaches consider only a si…
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
Yangbin Chen, Yun Ma, Tom Ko +2
Model-Agnostic Meta-Learning (MAML) and its variants are popular few-shot classification methods. They train an initializer across a variety of sampled learning tasks (also known a…
Virtual Mixup Training for Unsupervised Domain Adaptation
Xudong Mao, Yun Ma, Zhenguo Yang +2
We study the problem of unsupervised domain adaptation which aims to adapt models trained on a labeled source domain to a completely unlabeled target domain. Recently, the cluster…
An Investigation of Few-Shot Learning in Spoken Term Classification
Yangbin Chen, Tom Ko, Lifeng Shang +3
In this paper, we investigate the feasibility of applying few-shot learning algorithms to a speech task. We formulate a user-defined scenario of spoken term classification as a few…