3 citations · 9 across the 10 of their papers we have counts for
3 papers · 1 filter
Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition
Iosif Tsangko, Andreas Triantafyllopoulos, Adem Abdelmoula +2
Foundation Models (FMs) are rapidly transforming Affective Computing (AC), with Vision Language Models (VLMs) now capable of recognising emotions in zero shot settings. This paper…
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge
Xin Jing, Jiadong Wang, Iosif Tsangko +2
Although speech emotion recognition (SER) has advanced significantly with deep learning, annotation remains a major hurdle. Human annotation is not only costly but also subject to…
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids
Iosif Tsangko, Andreas Triantafyllopoulos, Michael Müller +2
The DeepFilterNet (DFN) architecture was recently proposed as a deep learning model suited for hearing aid devices. Despite its competitive performance on numerous benchmarks, it s…