Sound quality targets for new vehicles are currently specified by jury evaluation techniques based upon listening studies in a sound laboratory. However, jury testing is costly, time consuming and at present there are no methods to include customer expectations or brand requirements.This paper describes a neural computing approach that is being developed to generate knowledge and tools to enable objective measures of a product's sound to be converted into a prediction of the subjective impression of potential customers without carrying out the traditional jury evaluation tests.


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    Titel :

    Using Neural Networks to Predict Customer Evaluation of Sounds for the Foresight Vehicle


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Dunne, Garry (Autor:in) / Fry, Jeff (Autor:in) / Jennings, Paul (Autor:in) / Williams, Roger (Autor:in)

    Kongress:

    SAE 2002 World Congress & Exhibition ; 2002



    Erscheinungsdatum :

    2002-03-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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