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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Sae Technical Papers


    Contributors:
    Dunne, Garry (author) / Fry, Jeff (author) / Jennings, Paul (author) / Williams, Roger (author)

    Conference:

    SAE 2002 World Congress & Exhibition ; 2002



    Publication date :

    2002-03-04




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Using neural networks to predict customer evaluation of sounds for the Foresight Vehicle

    Jennings,P. / Fry,J. / Dunne,G. et al. | Automotive engineering | 2002


    2002-01-1125 Using Neural Networks to Predict Customer Evaluation of Sounds for the Foresight Vehicle

    Jennings, P. / Fry, J. / Dunne, G. et al. | British Library Conference Proceedings | 2002


    Foresight Vehicle Programme - customer understanding processes in design

    Garside,P. / Burns,A. / Evans,S. et al. | Automotive engineering | 2002


    Foresight Vehicle Programme - Customer Understanding Processes In Design

    Burns, Andrew / Garside, Paul / Evans, Stephen | SAE Technical Papers | 2002


    Foresight Vehicle Project: increased customer responsiveness through late product configuration

    Little,D. / Lee,H.L. / Hall,D.M. et al. | Automotive engineering | 2002