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    An Online Solution for Localisation, Tracking and Separation of Moving Speech Sources

    246086_Chong Nicholas 2016.pdf (3.823Mb)
    Access Status
    Open access
    Authors
    Chong, Nicholas Ewe Hai
    Date
    2015
    Supervisor
    Assoc. Prof. Ba Tuong
    Prof. Sven Nordholm
    Dr Iain Murray
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/1250
    Collection
    • Curtin Theses
    Abstract

    The problem of separating a time varying number of speech sources in a room is difficult to solve. The challenge lies in estimating the number and the location of these speech sources. Furthermore, the tracked speech sources need to be separated. This thesis proposes a solution which utilises the Random Finite Set approach to estimate the number and location of these speech sources and subsequently separate the speech source mixture via time frequency masking.

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