Previous studies have shown that certain inverse filtering methods introduce audible artifacts that can degrade the audio signal. To correct some of these artifacts various techniques such as regularization, smoothing and increasing the length of the inverse filter have been proposed. While these methods help in some cases they may also produce other artifacts or distortions that degrade the audio quality. In the present study formal subjective tests were conducted to systematically investigate modeled distortions similar to those found in inverse filtering. Parameters of the distortions, such as spectral shape, length and time profile were varied for the subjective tests. The results of the tests can be used to better understand the audibility of these artifacts and to create a perceptual model that can be used to design subjectively improved inverse filters.
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