Using written language to probe speech recognition models. Speech recognition models fall into two principal classes, with fundamentally different processing architectures. Feedback models (e.g. TRACE, McClelland & Elman, 1986) allow lexical knowledge to exert top-down control over phonemic analysis. Feedforward models (e.g. Merge, Norris, McQueen & Cutler, 2000) assume that information flow is entirely bottom-up. Our project adopts an innovative approach to testing between these model classe ....Using written language to probe speech recognition models. Speech recognition models fall into two principal classes, with fundamentally different processing architectures. Feedback models (e.g. TRACE, McClelland & Elman, 1986) allow lexical knowledge to exert top-down control over phonemic analysis. Feedforward models (e.g. Merge, Norris, McQueen & Cutler, 2000) assume that information flow is entirely bottom-up. Our project adopts an innovative approach to testing between these model classes, by examining the influence of written-word knowledge on speech perception. To distinguish the models, contrasts must test different processing levels and examine strategy effects. TRACE favors broad effects with limited strategic influence; Merge favors lexical effects that are necessarily sensitive to strategic factorsRead moreRead less
Reconciling perceptual and cognitive accounts of dyslexia: The neural rate deficit hypothesis. The proposed research will form part of a co-ordinated program to understand the causes of dyslexia, a disorder that affects a large number of children and often persists into adulthood. It complements parallel efforts to elucidate the genetic basis of dyslexia, the heterogeneity and subtypes of dyslexia, and the developmental precursors to the disorder. This research will inform early intervention and ....Reconciling perceptual and cognitive accounts of dyslexia: The neural rate deficit hypothesis. The proposed research will form part of a co-ordinated program to understand the causes of dyslexia, a disorder that affects a large number of children and often persists into adulthood. It complements parallel efforts to elucidate the genetic basis of dyslexia, the heterogeneity and subtypes of dyslexia, and the developmental precursors to the disorder. This research will inform early intervention and remediation efforts and will also assist in the understanding of the normal process of reading acquisition in children.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0882345
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A 3.0 Tesla MRI system for human cognitive neuroscience research. For the first time scientists are beginning to reveal the complex relationship between human brain function and behaviour. These advances have stemmed almost exclusively from the development of sophisticated brain scanning techniques that provide high-resolution images of physiological changes associated with perceptual, cognitive and motor behaviours. This application seeks support for a state-of-the-art scanner to obtain high-re ....A 3.0 Tesla MRI system for human cognitive neuroscience research. For the first time scientists are beginning to reveal the complex relationship between human brain function and behaviour. These advances have stemmed almost exclusively from the development of sophisticated brain scanning techniques that provide high-resolution images of physiological changes associated with perceptual, cognitive and motor behaviours. This application seeks support for a state-of-the-art scanner to obtain high-resolution images of the brain as healthy adults perceive, think, learn, remember and decide. The facility will enable Australian scientists to understand the complex links between brain and behaviour in health and disease.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668421
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A MEG-based cognitive neuroscience laboratory. At present there is no MEG system in Australia, whereas MEG systems are currently springing up in research institutions in many other countries across the globe. This project will enable Australia to remain at the forefront of research in the cognitive neurosciences, as well as provide training opportunities to Australian doctoral students and postdoctoral fellows in the use of MEG in research. Finally, the MEG laboratory will allow Australian resea ....A MEG-based cognitive neuroscience laboratory. At present there is no MEG system in Australia, whereas MEG systems are currently springing up in research institutions in many other countries across the globe. This project will enable Australia to remain at the forefront of research in the cognitive neurosciences, as well as provide training opportunities to Australian doctoral students and postdoctoral fellows in the use of MEG in research. Finally, the MEG laboratory will allow Australian researchers to fill important gaps in our understanding of several areas of cognitive neuroscience, including basic auditory and visual processing, the study of cognitive processing in schizophrenia and in children with dyslexia and/or specific language impairment.Read moreRead less
Establishing how head and face movement properties contribute to the perception of speech and identity. The proposed studies provide an extensive research program into audio-visual speech processing and person identification: key components of face-to-face communication. The likely impact and benefits of the project concern its contribution to perceptual theory (linking signal, brain and behaviour) and its practical implications: For determining the viability of multimodal biometric identificati ....Establishing how head and face movement properties contribute to the perception of speech and identity. The proposed studies provide an extensive research program into audio-visual speech processing and person identification: key components of face-to-face communication. The likely impact and benefits of the project concern its contribution to perceptual theory (linking signal, brain and behaviour) and its practical implications: For determining the viability of multimodal biometric identification procedures by assessing the distinctiveness and permanence of AV speech characteristics. In the development of a visual dubbing technique that has potential for communication in noisy environments (and for the deaf) and for the development of a morphable model for AV presentation that has application for both first and second language learning.Read moreRead less
Conceiving Connections: Increasing industry viability through analysis of audience responses to dance performance. The development of audiences is identified by the Australian dance industry as vital to the future of the sector. The current project will investigate how audiences respond to highly evolved dance-works. It will explore the kinds of meaning communicated by such works, and the value assigned to them by tutored and untutored audiences. Methods for enhancing audience engagement will be ....Conceiving Connections: Increasing industry viability through analysis of audience responses to dance performance. The development of audiences is identified by the Australian dance industry as vital to the future of the sector. The current project will investigate how audiences respond to highly evolved dance-works. It will explore the kinds of meaning communicated by such works, and the value assigned to them by tutored and untutored audiences. Methods for enhancing audience engagement will be tested through studies in both metropolitan and regional centres. Dance-scholars, artists and cognitive psychologists collaborate with three industry partners to identify and address significant concerns for artists, presenters, advocates and funding bodies, and to train postgraduate reserachers in inter-disciplinary modes.Read moreRead less
A longitudinal study of the interaction of home and school language in three Aboriginal communities. The importance of language skills cannot be underestimated, and contribute to 'a healthy start to life'. In multilingual Indigenous communities, children must negotiate the complexities of different languages used for different purposes. This project will provide detailed insights into how children manage differences between home and school language, the kinds of problems they encounter when the ....A longitudinal study of the interaction of home and school language in three Aboriginal communities. The importance of language skills cannot be underestimated, and contribute to 'a healthy start to life'. In multilingual Indigenous communities, children must negotiate the complexities of different languages used for different purposes. This project will provide detailed insights into how children manage differences between home and school language, the kinds of problems they encounter when they enter the school system, and how their languages develop over the first four crucial years of school which provide the foundation for the children's future education. Their ability to manage the language of school underpins their ability to lead successful and engaged lives as adults. Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capabili ....Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capability and competitiveness in AI, and deliver robust and trustworthy learning technology. The project should provide significant benefits not only in advancing scientific and translational knowledge but also in accelerating AI innovations, safeguarding cyberspace, and reducing the burden on defence expenses in Australia.Read moreRead less