Correlation of Objective and Subjective data of Automotive Horn

Mahanta, T K and Venkatesham, B (2014) Correlation of Objective and Subjective data of Automotive Horn. In: Proceedings of NSA, 12-14 November 2014, Mysore,India.

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Abstract

Psychoacoustic analysis of automotive horn sound requires people's perception and engineering parameters. Human perception had considered based on a subjective test (Jury test). Engineering parameters (Psychoacoustic parameters) is calculated in an objective analysis. The current manuscript discusses the developing correlation between subjective data with psychoacoustic parameters of automotive horn. This correlation helps to predict user response for horn sound and optimize the number of Jury test at the design stage. Jury test yields rating values for various automotive horn sound samples. Pleasantness index values have computed from total sound pressure level, loudness, sharpness, roughness, fluctuation strength and tonality. A correlation study has done between pleasantness index value and subjective pleasantness. Correlation methodology employs the use of principal component analysis (PCA) to group the large number of psychoacoustic parameters into an appropriate orthogonal (principal) component. A "metrics profile" has computed for each sound based on the PCA. A transformation matrix has calculated from jury ratings and the metrics profile. The expected performance in jury rating has predicted using transformation matrix and psychoacoustic parameters.

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