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Field of Research : Music Composition
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  • Funded Activity

    Linkage Projects - Grant ID: LP120100685

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    The Western Australia New Music Archive: 1970 - today: finding, accessing, remembering, performing. This project sees the creation of the Western Australian New Music Archive, a digital repository of and interface to Western Australian music composed from 1970 to the present day. A partnership between peak state and national bodies, the project will also involve the performance and recording of works from the archive.
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    Funded Activity

    Discovery Projects - Grant ID: DP120102426

    Funder
    Australian Research Council
    Funding Amount
    $254,000.00
    Summary
    Loudness moves! Roles of changing acoustic intensity in the perception of music. Changing loudness of a sound is an urgent cue for object location, and an emotional cue in speech and music. With new empirical techniques, we will identify roles of loudness in perception of structure, arousal and emotion in music. The work has application in inter-personal communication, sonic information display and, and in music selling online.
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    Funded Activity

    Linkage Projects - Grant ID: LP150100487

    Funder
    Australian Research Council
    Funding Amount
    $243,727.00
    Summary
    Developing a personalised Music Affect Recommender System. The project aims to develop a personalised music recommender system using perceived tone quality, affect and liking. Recommender systems using prior verbal annotations and ratings are common (Amazon) but inappropriate for less popular music by unfamiliar artists, which lacks social use data. The project intends to build on work into perception of musical affect and its relation to loudness and tone quality; and the automation of the orga .... Developing a personalised Music Affect Recommender System. The project aims to develop a personalised music recommender system using perceived tone quality, affect and liking. Recommender systems using prior verbal annotations and ratings are common (Amazon) but inappropriate for less popular music by unfamiliar artists, which lacks social use data. The project intends to build on work into perception of musical affect and its relation to loudness and tone quality; and the automation of the organisation of digital libraries both by labels and acoustic content. Developing this, the project seeks to create a model that gives recommendations which accounts for an individual's preferences based on acoustic content, affect and liking. The system will be designed to update rapidly and to encourage exploration of familiar and unfamiliar music.
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