Improvement of Accuracy in Sound Synthesis Methods by Means of Regularization Strategies
Sound quality is one of the main factors intervening in customers’ preferences when selecting a motor vehicle. For that reason, increasingly more precision in the models is demanded in the prediction of noise, as alternative to the traditional jury tests. Using sound synthesis methods, it is possible to obtain the auralization of sound produced by a physical sound source as it would be heard in an arbitrary receptor position. The physical source is represented by an acoustic equivalent source model and the engine noise is experimentally characterized by means of the substitution monopole technique. However, some factors have an influence on the accuracy of the model obtained such as regularization techniques. In this study the influence of the regularization techniques on the accuracy of the models has been discussed. It was found that the use of iterative algorithm improve the accuracy of the model compared to non-iterative techniques.
Keywordsregularization sound synthesis sound quality
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