During depression neurophysiological changes can occur, which may affect laryngeal
control ie behaviour of the vocal folds. Characterising these changes in a precise manner …

In the future, automatic speech-based analysis of mental health could become widely
available to help augment conventional healthcare evaluation methods. For speech-based …

We investigate the problem of speaker independent acoustic-to-articulatory inversion (AAI)
in noisy conditions within the deep neural network (DNN) framework. In contrast with recent …

Depression, a common mental disorder, significantly influences individuals and imposes
considerable societal impacts. The complexity and heterogeneity of the disorder necessitate …

Breathing patterns are shown to have strong correlations with emotional states, and hence
have promise for automatic mood order prediction and analysis. An essential challenge here …

We propose a novel sequence-to-sequence acoustic-toarticulatory inversion (AAI) neural
architecture in the temporal waveform domain. In contrast to traditional AAI approaches that …

Depression is one of the most common mental illnesses. Inaccurate assessments and
misdiagnosis of illness are quite common for such mental disorder. In response to the issue …

Depression has become one of the most prevalent mental health issues, affecting more than
300 million people all over the world. However, due to factors such as limited medical …

Depression is a psychiatric mood disorder that significantly affects an individual's emotional
state and functional abilities. It is often associated with other medical conditions, and this is …

The pervasive hopelessness and high risk of suicide in depressive patients suggested that
the self might be abnormal among them. Current state-of-the-art depression diagnostic …