Discovery Early Career Researcher Award - Grant ID: DE230100049
Funder
Australian Research Council
Funding Amount
$459,030.00
Summary
Towards automated Australian Sign Language translation. This project aims to address the computational modelling of Auslan. The project expects to generate knowledge by creating the largest Auslan dataset, enabling further advancements in this research area. The dataset will also play an essential role in other research fields, e.g., sign linguistics. Expected outcomes include the invention of the first Auslan recogniser and generator capable of distinguishing and synthesising 1000+ signs, repre ....Towards automated Australian Sign Language translation. This project aims to address the computational modelling of Auslan. The project expects to generate knowledge by creating the largest Auslan dataset, enabling further advancements in this research area. The dataset will also play an essential role in other research fields, e.g., sign linguistics. Expected outcomes include the invention of the first Auslan recogniser and generator capable of distinguishing and synthesising 1000+ signs, representing a substantial advancement towards fully automated Auslan translation. This should provide significant benefits for the Australian Deaf community, such as high-quality digital systems for education and communication, resulting in increased quality of life and inclusion in the Australian society.Read moreRead less
Automatic detection and modelling of acoustic markers of speech timing. This project aims to create new automatic sensing, analysis and assessment of cognitive, affective, mental and physical state from voice for mobile and computing devices. This project expects to generate new understanding of the effects of these states on detailed timing indicators of speech motor control, and new signal processing and machine learning methods that best exploit it. Expected outcomes from this project include ....Automatic detection and modelling of acoustic markers of speech timing. This project aims to create new automatic sensing, analysis and assessment of cognitive, affective, mental and physical state from voice for mobile and computing devices. This project expects to generate new understanding of the effects of these states on detailed timing indicators of speech motor control, and new signal processing and machine learning methods that best exploit it. Expected outcomes from this project include a new and accurate deep neural network framework for learning, analysing and detecting human states from speech automatically using articulatory timing markers. This should provide significant benefits, such as individually-tailored, frequent and low-cost automatic detection, monitoring and analytics for adverse states.Read moreRead less
Psychiatric disorders are associated with considerable social and economic burden which could be reduced if we understood mental health outcomes in high risk populations. This fellowship will use advanced brain imaging to understand the development of mental health disorders in those at high risk of bipolar disorder and dementia.
Kava For The Treatment Of Generalized Anxiety Disorder: A 16-Week Double-Blind RCT
Funder
National Health and Medical Research Council
Funding Amount
$680,489.00
Summary
Herbal medicines play a prominent role in traditional medicine to treat affective disorders (mood and anxiety disorders), however scientific studies are needed to truly assess their effectiveness. This clinical trial is examining the anxiolytic efficacy of Kava in treating chronic anxiety. As current response to antidepressant drugs can be inadequate, Kava may offer an additional affordable, safe, and effective option to reduce anxiety.
The Efficacy Of Adjunctive Garcinia Mangostana Linn. Pericarp For Bipolar Depression: A 24-week Double-blind, Randomized, Placebo-controlled Trial.
Funder
National Health and Medical Research Council
Funding Amount
$1,227,272.00
Summary
Bipolar disorder, especially during episodes of depression, can be highly debilitating. There is scientific evidence now directing research towards new targets to produce new therapies for bipolar depression. The current study aims to utilise an entirely new agent made from the husk of the mangosteen fruit (mangosteen pericarp). Mangosteen pericarp has properties that we believe will assist in reducing symptoms for those with bipolar depression, when taken in addition to usual treatment.
Clinical And Neurobiological Predictors Of Onset Of Major Mental Disorders (mania, Psychosis, Severe Depression), And Associated Functional Impairment, In Adolescent And Young Adult Twins: A Prospective Longitudinal Study
Funder
National Health and Medical Research Council
Funding Amount
$1,356,103.00
Summary
The Brisbane Twin Study is a prospective twin study tracking the real-time developmental trajectories of the onset of anxiety, mood, psychotic or substance misuse disorders through adolescence and young adulthood. This unique study has now reached the point where reassessment (after 20 years) can be performed. We will now determine the extent to which outcomes are predicted by neurobiological and genetic markers. This information is critical to prevention or early intervention strategies.
Probing Neural Circuits Of Emotion With Ultrafast FMRI And Dynamic Natural Stimuli
Funder
National Health and Medical Research Council
Funding Amount
$306,012.00
Summary
Emotion is central to our everyday experience and forms the backbone of our social relationships. Our understanding on emotion, however, mostly relies on strictly controlled task designs, using highly simplified and/or artificial stimuli. In this project, we propose a new platform to study brain activity underlying natural emotional experience. The design and methodology developed in this proposal will provide fundamental outcomes for understanding emotion disturbances in mental disorders.