Judith Dineley — accepted AI-conference papers

2024

Longitudinal Modeling of Depression Shifts Using Speech and Language

Paula Andrea Pérez-Toro, Judith Dineley, Agnieszka Kaczkowska, Pauline Conde, Yuezhou Zhang, Faith Matcham +12

ICASSP 2024accepted

Speech analysis can provide a potential non-invasive and objective means of assessing and monitoring an individual’s mental health. Most studies to date have focused on cross-sectional analysis and have not explored the benefits of speech analysis as a longitudinal monitoring tool that can assist in…

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2019

Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives

Lukas Stappen, Nicholas Cummins, Eva-Maria Meßner, Harald Baumeister, Judith Dineley, Björn W. Schuller

ICASSP 2019accepted

Automatic detection of sentiment and affect in personal narratives through word usage has the potential to assist in the automated detection of change in psychotherapy. Such a tool could, for instance, provide an efficient, objective measure of the time a person has been in a positive or negative st…

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