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 will generate a 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 mental and physical 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 mental and physical states.

Scholarship

• $35,000 per annum (2023 rate)
• Tuition fees scholarship for International candidates

Eligibility

• Domestic and International candidates
• PhD

How to Apply

Please email a copy of your CV to Julian Epps at j.epps@unsw.edu.au by 9 June 2023.