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Scheme : Linkage Projects
Field of Research : Pattern Recognition
Research Topic : SIGNAL
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Pattern Recognition (4)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0991238

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Robust Automatic Speaker Diarisation of Audio Documents by Exploiting Prior Sources of Information. Speaker Diarisation, the task of determining who spoke when, is a technology fundamental in deriving intelligent information from audio and multimedia resources. The requirement for efficient and accurate Speaker Diarisation systems, portable across different domains is heightened by the explosive growth of audio and multimedia archives online and throughout the world. This research will provide t .... Robust Automatic Speaker Diarisation of Audio Documents by Exploiting Prior Sources of Information. Speaker Diarisation, the task of determining who spoke when, is a technology fundamental in deriving intelligent information from audio and multimedia resources. The requirement for efficient and accurate Speaker Diarisation systems, portable across different domains is heightened by the explosive growth of audio and multimedia archives online and throughout the world. This research will provide the foundation for a commercial service of automatic Speaker Diarisation to be developed, growing Australia's impact on the information and communications technology (ICT) sector. The outcome of this research will also assist in the tracking of terrorist and unlawful activity by enabling effective intelligence gathering from different audio sources.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562101

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    Audio Visual Speech Recognition. Even though significant advances have been made in automatic speech recognition using acoustic information, the recognition accuracies are still poor in noisy and hostile environments such as in crowds, traffic, factory floors etc. In many of these applications visual information is or can easily be made available in addition to the audio. The aim of this project is to achieve an order of magnitude improvement in speech recognition accuracies in adverse environme .... Audio Visual Speech Recognition. Even though significant advances have been made in automatic speech recognition using acoustic information, the recognition accuracies are still poor in noisy and hostile environments such as in crowds, traffic, factory floors etc. In many of these applications visual information is or can easily be made available in addition to the audio. The aim of this project is to achieve an order of magnitude improvement in speech recognition accuracies in adverse environments by joint processing and modelling of the acoustic modality with visual information in the form of lip shapes and movements. The outcomes will be useful in human computer interaction in adverse environments as well as in the transcription and mining of multimedia data.
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    Funded Activity

    Linkage Projects - Grant ID: LP0349046

    Funder
    Australian Research Council
    Funding Amount
    $209,139.00
    Summary
    Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn .... Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.
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    Funded Activity

    Linkage Projects - Grant ID: LP0668128

    Funder
    Australian Research Council
    Funding Amount
    $158,000.00
    Summary
    Classification of human movement patterns from a triaxial accelerometer for home telecare. The purpose of the proposed ambulatory monitoring system is to ensure that a community-dwelling elderly person receives automatic, timely aid in the event of an adverse situation while alone at home, such as a fall or stroke. This project is aimed at the priority area 'ageing well, ageing productively'. Providing rapid assistance after a fall will prevent much of the morbidity, distress and socio-economic .... Classification of human movement patterns from a triaxial accelerometer for home telecare. The purpose of the proposed ambulatory monitoring system is to ensure that a community-dwelling elderly person receives automatic, timely aid in the event of an adverse situation while alone at home, such as a fall or stroke. This project is aimed at the priority area 'ageing well, ageing productively'. Providing rapid assistance after a fall will prevent much of the morbidity, distress and socio-economic cost that are associated with falls. Specifically, this project brings new advanced digital signal processing algorithms to bear on the difficult signal enhancement and classification problems associated with the information stream received from the triaxial accelerometer worn by the elderly client.
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    Showing 1-4 of 4 Funded Activites

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