47 citations · 81 across the 8 of their papers we have counts for
6 papers
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
Jing Han, Kun Qian, Meishu Song +11
The COVID-19 outbreak was announced as a global pandemic by the World Health Organisation in March 2020 and has affected a growing number of people in the past few weeks. In this c…
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Jing Han, Zixing Zhang, Zhao Ren +1
Despite remarkable advances in emotion recognition, they are severely restrained from either the essentially limited property of the employed single modality, or the synchronous pr…
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech
Zixing Zhang, Bingwen Wu, Bjoern Schuller
Despite the increasing research interest in end-to-end learning systems for speech emotion recognition, conventional systems either suffer from the overfitting due in part to the l…
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data
Zixing Zhang, Jing Han, Kun Qian +3
One of the frontier issues that severely hamper the development of automatic snore sound classification (ASSC) associates to the lack of sufficient supervised training data. To cop…
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Zixing Zhang, Jing Han, Eduardo Coutinho +1
Time-continuous emotion prediction has become an increasingly compelling task in machine learning. Considerable efforts have been made to advance the performance of these systems.…
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
Jing Han, Zixing Zhang, Nicholas Cummins +1
Over the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains. As a…