5 citations · 12 across the 5 of their papers we have counts for
4 papers
Customising General Large Language Models for Specialised Emotion Recognition Tasks
Liyizhe Peng, Zixing Zhang, Tao Pang +4
The advent of large language models (LLMs) has gained tremendous attention over the past year. Previous studies have shown the astonishing performance of LLMs not only in other tas…
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models
Zixing Zhang, Liyizhe Peng, Tao Pang +3
After the inception of emotion recognition or affective computing, it has increasingly become an active research topic due to its broad applications. Over the past couple of decade…
WakeUpNet: A Mobile-Transformer based Framework for End-to-End Streaming Voice Trigger
Zixing Zhang, Thorin Farnsworth, Senling Lin +1
End-to-end models have gradually become the main technical stream for voice trigger, aiming to achieve an utmost prediction accuracy but with a small footprint. In present paper, w…
Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression
Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos +6
We propose a novel Dynamic Restrained Uncertainty Weighting Loss to experimentally handle the problem of balancing the contributions of multiple tasks on the ICML ExVo 2022 Challen…