This paper describes the initial application of an auditory process model to the evaluation of various virtual acoustic imaging systems. The model has been designed to simulate human binaural hearing by means of an equalization-cancellation process for the binaural process and a template-matching with frequency weighting for the central process, while linear and non-linear ¯lters have been employed for the peripheral process. The model prediction has been shown to be consistent with the performance of human spatial hearing in case of the localization of white Gaussian noise and the lateralization of low-frequency pure tones. In this study, virtual acoustic images presented by conventional stereophony, the Stereo Dipole and the Optimal Source Distribution have been tested on the optimal listening positions, following a discussion on the template matching process of the model. The simulation results suggest that the current model, with certain limitations, can be a good predictor of the ¯delity of such systems in providing a virtual sound image.
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