Electronic Auditory Pathway. We will develop electronic building blocks to investigate biological signal processing. In particular, we will investigate the auditory pathway and develop the most accurate electronic model of the biological cochlea and auditory nerve. These will be followed by electronic circuits that model the processing of sensory signals in the brain. Processing signals with neural spikes offers distinct advantages over current analogue and digital signal processing techniques i ....Electronic Auditory Pathway. We will develop electronic building blocks to investigate biological signal processing. In particular, we will investigate the auditory pathway and develop the most accurate electronic model of the biological cochlea and auditory nerve. These will be followed by electronic circuits that model the processing of sensory signals in the brain. Processing signals with neural spikes offers distinct advantages over current analogue and digital signal processing techniques in terms of noise, energy consumption and extraction of temporal information. We will implement the first spike-based models of pitch and timbre perception, and a neural model of speech recognition in noisy environments.Read moreRead less
Online Structural Health Monitoring (SHM) System Using Active Diagnostic Sensor Network. It is imperative to remain technological leading for Australian research community. But current lack of reliable technique in structural health monitoring in Australia is considerably impeding her competition with other developed countries in areas of forefront technology. Outcomes of the project will lead to an online structural health monitoring system incorporated with active diagnostic sensor network, re ....Online Structural Health Monitoring (SHM) System Using Active Diagnostic Sensor Network. It is imperative to remain technological leading for Australian research community. But current lack of reliable technique in structural health monitoring in Australia is considerably impeding her competition with other developed countries in areas of forefront technology. Outcomes of the project will lead to an online structural health monitoring system incorporated with active diagnostic sensor network, related software and hardware, novel signal processing technique, and artificial intelligence algorithm-based damage identification scheme. Its successful applications in various industries, e.g. aerospace, maritime and civil, are expected to bring significant improvement in operation safety and great benefit in reducing maintenance cost.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.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.
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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560735
Funder
Australian Research Council
Funding Amount
$139,194.00
Summary
A Signal Simulation Facility for GNSS Receiver Design and Testing. The proposed Facility comprises a Global Navigation Satellite System (GNSS) RF Signal Simulator which allows laboratory testing of new signal tracking and navigation solution algorithms, under different scenarios. Simulation of the operation of current and future GPS satellites, and of the new European GNSS "Galileo", is vital for testing new receiver designs. For example, the Facility could be programmed to generate a GPS satell ....A Signal Simulation Facility for GNSS Receiver Design and Testing. The proposed Facility comprises a Global Navigation Satellite System (GNSS) RF Signal Simulator which allows laboratory testing of new signal tracking and navigation solution algorithms, under different scenarios. Simulation of the operation of current and future GPS satellites, and of the new European GNSS "Galileo", is vital for testing new receiver designs. For example, the Facility could be programmed to generate a GPS satellite signal with user-selectable physical variations in the signal path, including the presence of RF jamming sources, high atmospheric disturbances, diffraction effects and multipath. As many of the signal variations are rare and/or unpredictable, the Signal Simulator is the only means to carry out such tests.Read moreRead less
The development of new techniques for partial discharge monitoring and location in high voltage underground power cables. Increased utilization factors have caused a significant increase in the loading of high voltage distribution cables. This increased loading subjects cable insulation to increased stress which can degrade the insulation, cause cable failure and power loss to consumers. On-line cable insulation monitoring is required and partial discharge monitoring in cables provides a viable ....The development of new techniques for partial discharge monitoring and location in high voltage underground power cables. Increased utilization factors have caused a significant increase in the loading of high voltage distribution cables. This increased loading subjects cable insulation to increased stress which can degrade the insulation, cause cable failure and power loss to consumers. On-line cable insulation monitoring is required and partial discharge monitoring in cables provides a viable technique, but technical problems have prevented its application in on-line operation.
This project will develop techniques for such on-line monitoring. High frequency electrical sensors will be used to reduce interference and improve signal levels. Both a coarse alarm and a higher sensitivity monitor will be developed.
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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
Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW:
(1) Dynamics of gears for diagnostics and noise control
(2) Application of blind source separation techniques to mechanical problems
(3) Application of cyclostationary signal analysis techniques to machine diagnostics
(4) Determination of structural dynamic properties from response measure ....Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW:
(1) Dynamics of gears for diagnostics and noise control
(2) Application of blind source separation techniques to mechanical problems
(3) Application of cyclostationary signal analysis techniques to machine diagnostics
(4) Determination of structural dynamic properties from response measurements
(5) Diagnostics of diesel engines and other reciprocating machines.
This project will result in the publication of joint papers in each of these topics, and give material to form the basis of an application for at least one FAIR project in the area of gear noise control and diagnostics.Read moreRead less