The aim of this study is to investigate the robustness of room acoustics real-time equalization using inverse filters derived from the Complex Smoothing of the Transfer Function using perceptual criteria. The robustness of the method is assessed by real-time tests which compare the performance of Complex Smoothing-based equalization (for different filter lengths) with the traditional, ideal inverse filtering, over a range of room locations, which differ to the ones where response measurements were taken. Objective measurements and audio examples will show that the Complex Smoothing-based equalization performance, is largely immune to position changes and does not introduce processing artifacts, problems affecting the traditional ideal inversion.
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