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  • Machine Listening for Park Soundscape Quality Assessment

    Author(s)
    Boes, Michiel
    Filipan, Karlo
    De Coensel, Bert
    Botteldooren, Dick
    Griffith University Author(s)
    De Coensel, Bert
    Year published
    2018
    Metadata
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    Abstract
    The increasing importance attributed to soundscape quality in urban design generates a need for a system for automatic quality assessment that could be used for example in monitoring. In this work, the possibility for using machine listening techniques for this purpose is explored. The outlined approach detects the presence of particular sounds in a human-inspired way, and therefore allows to draw conclusions about how soundscapes are perceived. The system proposed in this paper consists of a partly recurrent artificial neural network modified to incorporate human attention mechanisms. The network is trained on sounds recorded ...
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    The increasing importance attributed to soundscape quality in urban design generates a need for a system for automatic quality assessment that could be used for example in monitoring. In this work, the possibility for using machine listening techniques for this purpose is explored. The outlined approach detects the presence of particular sounds in a human-inspired way, and therefore allows to draw conclusions about how soundscapes are perceived. The system proposed in this paper consists of a partly recurrent artificial neural network modified to incorporate human attention mechanisms. The network is trained on sounds recorded in typical urban parks in the city of Antwerp, and thus becomes an auditory object creation and classification system particularly tuned to this context. The system is used to analyze a continuous sound level recording in different parks, resulting in a prediction of sounds that will most likely be noticed by a park visitor. Finally, it is shown that these indicators for noticed sounds allow to construct more powerful models for soundscape quality as reported in a survey with park visitors than indicators that are more regularly used in soundscape research.
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    Journal Title
    ACTA ACUSTICA UNITED WITH ACUSTICA
    Volume
    104
    Issue
    1
    DOI
    https://doi.org/10.3813/AAA.919152
    Subject
    Classical physics
    Mechanical engineering
    Architecture
    Publication URI
    http://hdl.handle.net/10072/385404
    Collection
    • Journal articles

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