Joint modelling and recognition of linguistic and paralinguistic speech information. A new modelling framework will be developed exploiting interdependence between linguistic and paralinguistic cues to improve automatic recognition of emotion-related information. Applications in the high-tech industry include automatic routing of angry telephone customers or pre-suicidal crisis centre callers to specialist operators/clinicians.
A unified framework for analyzing the timescale of interest for traffic measurements, modelling and performance analysis. The revenue generated from traditional telecommunication services is continuing to drop. New value-added services such as multimedia services become the fastest growing revenue-generating sector in Australia's telecommunications industry. The ubiquitous presence of scaling behaviour in network traffic presents a big challenge for delivering better Quality-of-Service (QoS) whi ....A unified framework for analyzing the timescale of interest for traffic measurements, modelling and performance analysis. The revenue generated from traditional telecommunication services is continuing to drop. New value-added services such as multimedia services become the fastest growing revenue-generating sector in Australia's telecommunications industry. The ubiquitous presence of scaling behaviour in network traffic presents a big challenge for delivering better Quality-of-Service (QoS) which is demanded by the new services. A complete understanding of the scaling behaviour and its impact is very important. This research addresses a key problem of defining the timescale range of interest for the scaling behaviour. The research outcome benefits a number of areas, which are all critical for developing enhanced QoS support and better network management.Read moreRead less
Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties ....Spectral analysis with selective harmonic emphasis. This project lies under ARC research priority area "Frontier Technologies for Building and Transforming Australian Industries". The signal processing algorithms to be developed in this project will be useful in many important practical applications, which include various bio-medical imaging modalities, beamforming, radar, sonar and target tracking using sensor arrays. The idea is to use the prior knowledge to enhance certain desired properties of the algorithms via intelligent processing. In this light the project also lies within the ARC research priority area of "Smart Information use".Read moreRead less
The fate of single virus particles during infection. This project applies innovative imaging techniques to elucidate the logistics of cellular function. Establishing a cutting-edge technology platform will spawn discovery and research creativity in fundamental science, as well as applications in biomedical and biotechnology research disciplines. We will foster a highly skilled workforce, an essential asset for maintaining and enhancing Australia's reputation and capability as a leader in researc ....The fate of single virus particles during infection. This project applies innovative imaging techniques to elucidate the logistics of cellular function. Establishing a cutting-edge technology platform will spawn discovery and research creativity in fundamental science, as well as applications in biomedical and biotechnology research disciplines. We will foster a highly skilled workforce, an essential asset for maintaining and enhancing Australia's reputation and capability as a leader in research excellence.Read moreRead less
Fundamental Studies in System Identification. To operate a dynamic system such as a chemical process plant or an economy one needs two things; the equations describing the system; a way of regulating the system to provide desired outcomes. System identification provides the first; control engineering design provides the second. This proposal addresses three important problems in system identification and control. Firstly since the equations can never be known precisely we aim to determine what i ....Fundamental Studies in System Identification. To operate a dynamic system such as a chemical process plant or an economy one needs two things; the equations describing the system; a way of regulating the system to provide desired outcomes. System identification provides the first; control engineering design provides the second. This proposal addresses three important problems in system identification and control. Firstly since the equations can never be known precisely we aim to determine what is the best one can do? Secondly to provide then tight error bounds for the control design;
thirdly to develop new methods for some hitherto unresolved problems in system identification.Read moreRead less
Molecular microscopy: protein and membrane dynamics in resting and activated T cells. The aim of this research, to understand the molecular organization and dynamics of the plasma membrane that underlie the signal transduction events, is at the very heart of understanding cell communication. T cell recognition and activation initiates an adaptive immune response to invading pathogens and structurally altered proteins that can be found in cancers. By providing functional insights into the molecul ....Molecular microscopy: protein and membrane dynamics in resting and activated T cells. The aim of this research, to understand the molecular organization and dynamics of the plasma membrane that underlie the signal transduction events, is at the very heart of understanding cell communication. T cell recognition and activation initiates an adaptive immune response to invading pathogens and structurally altered proteins that can be found in cancers. By providing functional insights into the molecular mechanism of T cell activation, we will not only provide fundamental knowledge of receptor signalling but also specific details of T cell receptort triggering that may lead to the development of new therapeutic strategies to control T cell activation.Read moreRead less
Design of Multi-Gigabit Millimeter Wave Cellular Networks. It has been predicted that within the next ten years trillions of devices will connect to cellular networks and cause a thousand-fold increase in mobile traffic. This will lead to a severe spectrum shortage and congested cellular networks. Large expanses of the millimetre-wave spectrum have the potential to meet the capacity demands of future cellular networks. The project aims to develop the fundamental sciences for millimetre-wave cell ....Design of Multi-Gigabit Millimeter Wave Cellular Networks. It has been predicted that within the next ten years trillions of devices will connect to cellular networks and cause a thousand-fold increase in mobile traffic. This will lead to a severe spectrum shortage and congested cellular networks. Large expanses of the millimetre-wave spectrum have the potential to meet the capacity demands of future cellular networks. The project aims to develop the fundamental sciences for millimetre-wave cellular communications, which thought to be essential for the design of next generation cellular networks with data rates at least three orders of magnitude faster than those in current cellular networks. The research outcomes are expected to provide the foundations and tools for building a future mobile broadband network infrastructure in Australia.Read moreRead less
Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This resear ....Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This research program will develop the complex signal processing and system methodology needed to create a suitable tool set.Read moreRead less
Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic ....Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic noisy speech signals and the ‘cocktail party problem’ using innovative binaural feedback systems. This work should provide significant benefits, including improved voice biometrics and selective auditory attention capabilities in machines.Read moreRead less
Integrating biologically-inspired auditory models into deep learning. This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a gro ....Integrating biologically-inspired auditory models into deep learning. This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a growing demand to improve these voice-enabled services, making them more secure and less open to cyber-crime attack by unauthorised users. The project is expected to improve techniques for modelling and automatic processing of speech and audio signals, which should provide significant benefits, including improved voice biometrics and cochlear implants.Read moreRead less