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    Modelling the performance of speaker arrays in domestic listening environments.

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    RS2017 Paper (Final).pdf
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    Author Accepted Manuscript
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    Authors
    Dring, Mark
    Middlicott, Charlie cc
    Wiggins, Bruce cc
    Vilkaitis, Alex
    Affiliation
    University of Derby
    Issue Date
    2017-11-23
    
    Metadata
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    Abstract
    The evaluation of multi-speaker arrays is often completed in ideal anechoic conditions to better enable the observation of speaker interaction at a known listening position. Real-room testing of speaker arrays is often time-consuming and has practical limitations, which can have an impact on analysis and also the repeatability of testing. This research will investigate the performance of multiple simulated speaker arrays such as 5.1, WFS and Ambisonics in modelled domestic environments. This will be implemented using acoustic modelling software and measured speaker directivity which will allow for subjective analysis using binaural auralisations; where modelled living room impulse responses will be generated for each speaker type and position to give several ‘virtual loudspeaker arrays’. Objective evaluation of each system's spatial reproduction and localisation ability will also be considered using techniques such as velocity and energy vector analysis as examples.
    Citation
    Dring, M., Middlicott, C., Wiggins, B., Vilkaitis, A., (2017) Modelling The Performance of Speaker Arrays In Domestic Listening Environments. Reproduced Sound 2017 – Proceedings of the Institute of Acoustics, p119-128, Vol 39. Pt. 1 2017, Nottingham, UK
    Publisher
    Institute of Acoustics
    Journal
    Reproduced Sound 2017 - Proceedings of the Institute of Acoustics
    URI
    http://hdl.handle.net/10545/622015
    Additional Links
    http://reproducedsound.co.uk/; http://www.ioa.org.uk/publications-shop
    http://reproducedsound.co.uk/wp-content/uploads/2017/08/RS2017-Final-Programme.pdf
    Type
    Meetings and Proceedings
    Language
    en
    ISSN
    14786095
    ISBN
    9781906913281
    Collections
    Department of Electronics, Computing & Maths

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