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Modeling System for the Cocktail Party Effect
Human-beings can recognize a desired sound signal even in a noisy environment, the so-called cocktail party effect. This paper models this effect from the viewpoint of binaural signal processing. The desired direction is predicted using the modified interaural cross-correlation function. The predicted direction is used as the target direction for the directionally-constrained LMS adaptive processor. The processor consists of a 2-sensor input and tapped delay line. This adaptive algorithm minimizes the system output power, preserving the output level of the signal from the target direction. The important parameters for this algorithm are the update step size and the convergence condition of the system. We propose these parameters based on the speed and stability of convergence. We study the effectiveness and validity of our new system using simulations based on the two-signal input model.
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