17 citations · 60 across the 28 of their papers we have counts for
36 papers
Quantifying the perceptual value of lexical and non-lexical channels in speech
Sarenne Wallbridge, Peter Bell, Catherine Lai
Speech is a fundamental means of communication that can be seen to provide two channels for transmitting information: the lexical channel of which words are said, and the non-lexic…
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
Xiaoliang Wu, Peter Bell, Ajitha Rajan
Explainable AI (XAI) techniques have been widely used to help explain and understand the output of deep learning models in fields such as image classification and Natural Language…
Transfer Learning for Personality Perception via Speech Emotion Recognition
Yuanchao Li, Peter Bell, Catherine Lai
Holistic perception of affective attributes is an important human perceptual ability. However, this ability is far from being realized in current affective computing, as not all of…
ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition
Yuanchao Li, Zeyu Zhao, Ondrej Klejch +2
In Speech Emotion Recognition (SER), textual data is often used alongside audio signals to address their inherent variability. However, the reliance on human annotated text in most…
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect Recognition
Yaoting Wang, Yuanchao Li, Paul Pu Liang +3
Fusing multiple modalities has proven effective for multimodal information processing. However, the incongruity between modalities poses a challenge for multimodal fusion, especial…
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
Ramon Sanabria, Nikolay Bogoychev, Nina Markl +3
English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many vari…