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Modeling Sound Source Localization under the Precedence Effect Using Multivariate Gaussian Mixtures
The precedence effect refers to the property of the human auditory system that enables accurate localization of sound sources where many interfering echoes of the original signal are also present. Perception of the elevation, azimuth, and distance of sound sources are affected in the presence of an echo. The multivariate Gaussian mixture model proposed in this paper combines azimuth, elevation and distance perception, and provides a general framework for modeling sound source localization under the precedence effect. The model interprets the precedence effect as a spatial property rather than a temporal one.
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