Spatial sound resolution of an interpolated HRIR library

A user study of auditory versus visual interfaces for use while driving

“…As the human ears are located at either side of the head, the socalled binaural effects enable the humans to better determine the location of a sound source in terms of azimuth rather than elevation (Jin et al, 2004). The measurements of the so-called minimum audible angle (MAA) and minimum audible movement angle (MAMA) also report significantly higher horizontal spatial resolution than vertical or diagonal resolution (Grantham et al, 2003;Sodnik et al, 2005).…”

An elevation coding method for auditory displays

“…We presumed that arrangement of 18 sounds would suffice for elevations from À45°to 90°; that means average resolution of 7.5°. Localisation resolution of elevation in free-field is 6°in the front of the listener [5,17] and decreases up to 50% with elevation approaching 90° [26]. Therefore we calculated the number of sounds in auditory display considering resolution in the front of the listener reduced by 25%.…”

“…Previous studies on elevation illusions and elevation localisation used different sound sources, such as noises of different bandwidths, random signals, etc. [5,11,15,16,25], to demonstrate the correlation between the perceived elevation and the frequency centroid of a sound [22,31], i.e. that the sounds with higher pitch appeared to the listener as if originating from higher elevation.…”

“…When generalised HRTFs are used, the resolution in elevation decreases significantly. With the use of generalised HRTFs of the CIPIC library [8] it is possible to obtain a resolution of 23°in the elevation and 4°in the azimuth [5,17].…”

Head-Related Impulse Response Interpolation in Virtual Sound System

“…Many interpolation methods have been proposed, such as direct interpolation in frequency domain [2] or time domain [3], indirect interpolation in the parameter space [4,5], spatial interpolation [6], etc.. In real time systems, considering the algorithm construction and the computational complexity, the most commonly used methods are the simple linear interpolation in the frequency domain or in the time domain.…”