| Summary: | 碩士 === 國立交通大學 === 機械工程學系 === 98 === As a loudspeaker operates in the large-signal domain, nonlinear distortion may arise and impair the sound quality. This work aims to correlate various subjective audio attributes and the objective nonlinear measurements for moving-coil loudspeakers. Several nonlinear models of loudspeaker are created, based on a large-signal loudspeaker model. The data of subjective listening test were processed by the regression analysis, the multivariate analysis of variance (MANOVA), and the least significant difference method (Fisher’s LSD) as a post hoc test to justify the statistical significance of the results. The objective and subjective indices are correlated with the aid of an artificial neural network (ANN). The network proved effective in assessing subjectively the sound quality impairment due to nonlinear distortions of loudspeakers based on only objective measurements, without having to conduct listening tests.
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