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
The perception/production link in child language. Children with hearing loss experience continuing language difficulties, with major knock-on effects on educational and social outcomes. This project aims to uncover the connected perception and production processes that underpin these language challenges for children with hearing loss, focussing on a speech patterns also found in younger normal-hearing toddlers, and using innovative technologies that can generalize to the clinical practice. The p ....The perception/production link in child language. Children with hearing loss experience continuing language difficulties, with major knock-on effects on educational and social outcomes. This project aims to uncover the connected perception and production processes that underpin these language challenges for children with hearing loss, focussing on a speech patterns also found in younger normal-hearing toddlers, and using innovative technologies that can generalize to the clinical practice. The project outcomes will significantly advance theories of child language development, and promise to inform more accurate and better-targeted intervention for children with hearing loss, providing social benefit by improving their listening and speaking skills.Read moreRead less
Does word similarity across languages help or hinder bilingual speakers? This project aims to understand in more detail how bilinguals can accurately speak in both their languages. Speaking is a complex skill, particularly if you have two languages to choose from, which will be true for over half of Australia’s population by 2025. This project aims to investigate the factors that influence speech production in both monolinguals and bilinguals including those with language impairment, and develop ....Does word similarity across languages help or hinder bilingual speakers? This project aims to understand in more detail how bilinguals can accurately speak in both their languages. Speaking is a complex skill, particularly if you have two languages to choose from, which will be true for over half of Australia’s population by 2025. This project aims to investigate the factors that influence speech production in both monolinguals and bilinguals including those with language impairment, and develop a better bilingual theory. The benefit of this new theory will be to provide a clear basis for diagnosis and treatment for children in bilingual households who have problems learning to speak, and for bilingual people with language problems after a stroke or dementia.Read moreRead less
Origins of Phonology and Lexicon: Abstract representations before 6 months. Language is one of the most sophisticated human abilities, yet infants learn it easily. The current view is that the origins of language are abstract representations of consonants and vowels that start to form at 6-10 months. However, recent evidence shows that abstraction begins before 3 months, and that carer-infant conversations are vital to the process. This study involves tracking infants’ behavioural and brain deve ....Origins of Phonology and Lexicon: Abstract representations before 6 months. Language is one of the most sophisticated human abilities, yet infants learn it easily. The current view is that the origins of language are abstract representations of consonants and vowels that start to form at 6-10 months. However, recent evidence shows that abstraction begins before 3 months, and that carer-infant conversations are vital to the process. This study involves tracking infants’ behavioural and brain development from 1 to 18 months and analysing carer-infant speech, to determine how early abstraction supports vocabulary growth, how carer speech assists this process, and what early conditions predict language development, thus benefiting earlier identification of language delay, and saving significantly on later remediation.Read moreRead less
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
Relationship of retinal directionality to human retinal anatomy variations. This project aims to improve measurement of retinal directionality, which is the reduction in brightness when a light beam’s entry into the human eye is shifted from the centre to the edge of the pupil. This influences retinal image quality and can be used to measure changes in shape of the peripheral eye. This project will apply advanced technologies in holography, and heads-up displays to explore how retinal directiona ....Relationship of retinal directionality to human retinal anatomy variations. This project aims to improve measurement of retinal directionality, which is the reduction in brightness when a light beam’s entry into the human eye is shifted from the centre to the edge of the pupil. This influences retinal image quality and can be used to measure changes in shape of the peripheral eye. This project will apply advanced technologies in holography, and heads-up displays to explore how retinal directionality changes during accommodation (focusing). The expected outcome is improved understanding of retinal stretching changes during focusing. The benefit is that the project will lead to advancements in retinal imaging.Read moreRead less
The effect of sound change on children's speech in community diversity. This project aims to explain how children's speech processing adapts to cultural and linguistic diversity and how such adaptation may seed sound change in language. Using acoustic and articulatory (ultrasound) methods, the project intends to explain how children rapidly and authentically acquire the intricately nuanced accents of their communities. The project aims to advance theories of language variation and change by prov ....The effect of sound change on children's speech in community diversity. This project aims to explain how children's speech processing adapts to cultural and linguistic diversity and how such adaptation may seed sound change in language. Using acoustic and articulatory (ultrasound) methods, the project intends to explain how children rapidly and authentically acquire the intricately nuanced accents of their communities. The project aims to advance theories of language variation and change by providing new insights into the forces that shape the sounds of language. An understanding of how children's speech patterns develop and ultimately converge to local norms has implications for the social integration of second language learning children and refugee/asylum seekers, and for clinical and speech technology applications for children.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
Adversarial Learning of Hybrid Representation. This project aims to design and implement a foundational deep representation learning framework for early detection, classification and defense of emerging malware by capturing their underlying behaviours via structured and unstructured heterogeneous information through hybrid representation learning, behaviour graph mining, and symbolic adversarial learning to discover and defend unknown malware families, thereby significantly boosting the accuracy ....Adversarial Learning of Hybrid Representation. This project aims to design and implement a foundational deep representation learning framework for early detection, classification and defense of emerging malware by capturing their underlying behaviours via structured and unstructured heterogeneous information through hybrid representation learning, behaviour graph mining, and symbolic adversarial learning to discover and defend unknown malware families, thereby significantly boosting the accuracy and robustness of existing classifiers and detectors. The resulting representation learning framework will enhance the national security to protect user privacy, reducing the multi-million-dollar loss caused by fraudulent transactions, and defending against cyber attacks.Read moreRead less
Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of th ....Using visual science to reduce the dangers of night driving. This project aims to develop novel tests of visual function relevant to the modern night driving environment. Night driving is challenging for all drivers and has been linked to poor visibility under low light conditions. This project will characterise the visual challenges of the modern night driving environment, develop visual tests that incorporate the dynamic light levels typical of night-time roads and assess the association of these tests with night driving performance. The outcomes will contribute new knowledge regarding dynamic visual processing and the ageing visual system and will inform vision testing, potential interventions to improve visual function for night driving and reduce the dangers of night driving.Read moreRead less