research
∙
08/22/2023
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
Language use has been shown to correlate with depression, but large-scal...
share
research
∙
05/21/2023
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech
Speech is promising as an objective, convenient tool to monitor health r...
research
∙
11/09/2022
Utilising Bayesian Networks to combine multimodal data and expert opinion for the robust prediction of depression and its symptoms
Predicting the presence of major depressive disorder (MDD) using behavio...
research
∙
06/02/2022
Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology
Major Depressive Disorder (MDD) is a common worldwide mental health issu...
research
∙
03/30/2022
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
We present a novel feasibility study on the automatic recognition of Exp...
research
∙
03/30/2022
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression
Embedded in any speech signal is a rich combination of cognitive, neurom...
research
∙
04/26/2021
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
The Bluetooth sensor embedded in mobile phones provides an unobtrusive, ...
research
∙
04/19/2021
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
This study investigates the potential of deep learning methods to identi...
research
∙
04/17/2021
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder
The ease of in-the-wild speech recording using smartphones has sparked c...
research
∙
09/27/2020
The Relationship between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multi-centre Longitudinal Observational Study
Research in mental health has implicated sleep pathologies with depressi...
research
∙
04/29/2020
Using smartphones and wearable devices to monitor behavioural changes during COVID-19
In the absence of a vaccine or effective treatment for COVID-19, countri...
research
∙
09/01/2019
The Ambiguous World of Emotion Representation
Artificial intelligence and machine learning systems have demonstrated h...
research
∙
07/10/2019
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mi...
research
∙
03/13/2019
Voice command generation using Progressive Wavegans
Generative Adversarial Networks (GANs) have become exceedingly popular i...
research
∙
09/21/2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
Over the past few years, adversarial training has become an extremely ac...
research
∙
03/26/2018
Calibrated Prediction Intervals for Neural Network Regressors
Ongoing developments in neural network models are continually advancing ...
research
∙
12/12/2017