Using Neural Networks to Predict Customer Evaluation of Sounds for the Foresight Vehicle 2002-01-1125
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.
Citation: Jennings, P., Fry, J., Dunne, G., and Williams, R., "Using Neural Networks to Predict Customer Evaluation of Sounds for the Foresight Vehicle," SAE Technical Paper 2002-01-1125, 2002, https://doi.org/10.4271/2002-01-1125. Download Citation
Author(s):
Paul Jennings, Jeff Fry, Garry Dunne, Roger Williams
Affiliated:
University of Warwick, Jaguar Cars, MSX International
Pages: 8
Event:
SAE 2002 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Foresight Vehicle Technology: Design, ITS, Safety, Electronics, and Materials-SP-1695
Related Topics:
Neural networks
Sound quality
Tools and equipment
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