Artifact Reduction in Positioning Algorithm Using Differential HRTF

作者：Storek Dominik^*; Bouse Jaroslav^*; Rund Frantisek^*; Marsalek Petr^*

来源：Journal of the Audio Engineering Society, 2016, 64(4): 208-217.

DOI：10.17743/jaes.2016.0001

This article presents specific methods for reducing artifacts that may occur within virtual sound source positioning methods employing Differential Head-Related Transfer DHRTF) and their subjective and objective assessment. The artifacts result from a process of obtaining the DHRTF where spike-like spectral peak(s) may occur in the module of the DHRTF. These spectral features result in an undesirable whistling-like sound component that distorts both timbre and spatial perception of the virtual sound. Therefore, the DHRTF requires to be pre-processed by an appropriate method that is able to remove or at least sufficiently reduce the artifacts while preserving both the natural character of the timbre and the spatial perception of the positioned sound. Three selected methods based on limitation and/or smoothing of the DHRTF magnitude by a low-pass filter are introduced here and compared by paired comparison listening tests and by objective assessment methods. The tests showed a significant decrease of the artifact occurrence with the best results for a method based on limiting the DHRTF magnitude and its smoothing by a moving average convolution kernel.

• 出版日期2016-4