2016
DOI: 10.17743/jaes.2016.0001
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Artifact Reduction in Positioning Algorithm Using Differential HRTF

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(2 citation statements)
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“…The results disprove the previous hypothesis for the DHRTF that the loudness will fluctuate significantly along the positions due to the non-uniform (one-channel) filtering. Despite the examined positions were roughly distributed in the frontal plane, a follow-up experiments performed in (Storek et al, 2016) confirmed this statement by employing moving virtual sound objects. The last task of each trial of the test was to select the most preferred stimuli.…”
Section: Resultsmentioning
confidence: 74%
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“…The results disprove the previous hypothesis for the DHRTF that the loudness will fluctuate significantly along the positions due to the non-uniform (one-channel) filtering. Despite the examined positions were roughly distributed in the frontal plane, a follow-up experiments performed in (Storek et al, 2016) confirmed this statement by employing moving virtual sound objects. The last task of each trial of the test was to select the most preferred stimuli.…”
Section: Resultsmentioning
confidence: 74%
“…4, black line. A more comprehensive analysis of the artifacts and their elimination (by employing spectral limitation and low-pass filtering for the DHRTF spectrum) can be found in (Storek et al, 2016).…”
Section: Differential Hrtfmentioning
confidence: 99%