A methodology is presented for simulating with an auditory model some psychoacoustic properties of a human listener. Masking thresholds were measured for a listener considered an expert in audio-quality assessment. Then, several parameters of the auditory model were adapted using a genetic algorithm so that the model's detection thresholds matched the listener's thresholds. The resulting model showed improved performance in predicting mean audio-quality ratings obtained from tests with human listeners.
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