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.
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.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
Active Sound Control and Noise Cancellation over Space. This project aims to address the critical issues for creating acoustic quiet zones in a noisy environment. It will provide novel signal processing theory for further development of active noise cancellation techniques over spatial regions. New technologies developed from this project are expected to underpin the future development of acoustic signal processing research and will have a broad range of applications such as reduction of noise i ....Active Sound Control and Noise Cancellation over Space. This project aims to address the critical issues for creating acoustic quiet zones in a noisy environment. It will provide novel signal processing theory for further development of active noise cancellation techniques over spatial regions. New technologies developed from this project are expected to underpin the future development of acoustic signal processing research and will have a broad range of applications such as reduction of noise inside cars, creation of individual quiet zones in passenger planes and mitigation of acoustic noise made by industrial plants to neighbouring suburbs. The outcomes from this proposal will also have economic importance as it can reduce the health risk posed to people working or living in noisy environments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100363
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
The cocktail party problem: Advancing binaural localisation techniques. This project aims to advance fundamental research in source localisation by using a binaural system with two sensors to mimic human listening capabilities. It will provide new theory of source localisation features, novel signal processing techniques and design of binaural devices for localising sound sources in a cluttered acoustic environment. New technologies developed from this project will endeavour to lead to further d ....The cocktail party problem: Advancing binaural localisation techniques. This project aims to advance fundamental research in source localisation by using a binaural system with two sensors to mimic human listening capabilities. It will provide new theory of source localisation features, novel signal processing techniques and design of binaural devices for localising sound sources in a cluttered acoustic environment. New technologies developed from this project will endeavour to lead to further development of binaural audio research and will have a broad range of applications, such as hearing aids, personal sound amplification products and humanoid robots. The project aims to enable people wearing binaural devices or robots having two artificial ears to localise sounds and to follow a conversation in realistic situations.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100420
Funder
Australian Research Council
Funding Amount
$394,704.00
Summary
Large Scale Multiple Antennas for Energy-Efficient Heterogeneous Wireless Networks. This project investigates new network architectures for future wireless broadband inspired by recent advances in large scale multiple antenna technology and heterogeneous networks. The aim is to support flexible and scalable wireless services across diverse network regions with energy-efficient management of radio spectrum and interference. Targeted applications include smart energy metering, intelligent transpor ....Large Scale Multiple Antennas for Energy-Efficient Heterogeneous Wireless Networks. This project investigates new network architectures for future wireless broadband inspired by recent advances in large scale multiple antenna technology and heterogeneous networks. The aim is to support flexible and scalable wireless services across diverse network regions with energy-efficient management of radio spectrum and interference. Targeted applications include smart energy metering, intelligent transport systems, mobile health monitoring and green data centres. Outcomes of the research will be new wireless protocols and algorithms drawing upon the foundations of random matrix theory, game theory and large system analysis, which will offer fundamental insights into large scale multiple antennas for heterogeneous wireless networks.Read moreRead less
Vector quantization approaches to nonlinear stochastic estimation. Many problems in health, economics, telecommunications and industrial control can be formulated as estimation problems with uncertain data. This project is aimed at developing a novel class of algorithms aimed at high complexity estimation problems. If successful, the project will provide new approaches to these problems.
Cancelling neighbouring voices for enhanced audio-visual collaboration. Cancelling neighbouring voices for enhanced audio-visual collaboration. This project aims to improve voice communication in immersive video conference technology for distance-based learning, using classrooms of students. research new theoretical approaches and develop new technology to transform the voice communication experience for co-located immersive video conferencing participants. When participants are co-located, two ....Cancelling neighbouring voices for enhanced audio-visual collaboration. Cancelling neighbouring voices for enhanced audio-visual collaboration. This project aims to improve voice communication in immersive video conference technology for distance-based learning, using classrooms of students. research new theoretical approaches and develop new technology to transform the voice communication experience for co-located immersive video conferencing participants. When participants are co-located, two major audio issues—significant acoustic echo and instability—can arise; these are barriers to the wider adoption of this mode of education delivery. The expected outcome is an immersive video conferencing application deployed by the partner organisation. A key benefit will be a significantly enhanced product that provides a commercial advantage as well as a solution to remote learning for Australian students and educators.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100137
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
Efficient and sustainable wireless powered communication networks. This project aims to enable efficient wireless energy transfer and data communication for wireless powered communication (WPC) networks. WPC is a key technology to unlock the potential of Internet-of-Things (IoT) via prolonging the lifetime of energy-limited wireless communication devices. This project will design and develop a proof-of-concept WPC test-bed to evaluate and verify the proposed technologies. The outcomes of the pro ....Efficient and sustainable wireless powered communication networks. This project aims to enable efficient wireless energy transfer and data communication for wireless powered communication (WPC) networks. WPC is a key technology to unlock the potential of Internet-of-Things (IoT) via prolonging the lifetime of energy-limited wireless communication devices. This project will design and develop a proof-of-concept WPC test-bed to evaluate and verify the proposed technologies. The outcomes of the project are expected to advance the knowledge of WPC networks and contribute a new type of wireless infrastructure, as an essential part of the emerging digital society.Read moreRead less
Design of future cognitive radio relay networks. The project will aim to make fundamental advances in the design of spectrum-efficient cognitive radio relay networks. This will be facilitated by novel designs using game theory, multiple-antenna and cooperative relaying technologies. These designs will be essential to the future development of spectrum-efficient wireless communications.