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. 2016 Jul;140(1):EL14.
doi: 10.1121/1.4954870.

Sound source localization identification accuracy: Level and duration dependencies

William A Yost  1
Affiliations

Sound source localization identification accuracy: Level and duration dependencies

William A Yost. J Acoust Soc Am. 2016 Jul.

Abstract

Sound source localization accuracy for noises was measured for sources in the front azimuthal open field mainly as a function of overall noise level and duration. An identification procedure was used in which listeners identify which loudspeakers presented a sound. Noises were filtered and differed in bandwidth and center frequency. Sound source localization accuracy depended on the bandwidth of the stimuli, and for the narrow bandwidths, accuracy depended on the filter's center frequency. Sound source localization accuracy did not depend on overall level or duration.

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Figures

Fig. 1.
Fig. 1.
(Color online) Mean (12 listeners) rms errors in degrees as a function of overall level in dB SPL for the filtered conditions. Left figure: Data for 2-octave wide noise bands (CFs of 250, 2000, and 4000 Hz) and a broadband (BB) condition. Right figure: Data for the 1/10th octave filter conditions (at the three CFs). Error bars are ± one standard deviation.
Fig. 2.
Fig. 2.
(Color online) Mean (12 listeners) rms errors in degrees as a function of stimulus duration in ms for the filtered conditions. Left figure: Data for 2-octave wide noise bands (CFs of 250, 2000, and 4000 Hz) and a BB condition. Right figure: Data for the 1/10th octave filter conditions (at three CFs). Error bars are ± one standard deviation.
Fig. 3.
Fig. 3.
(Color online) Mean (24 listeners) rms errors in degrees as a function of the eleven loudspeaker locations (2: −75° right, 7: 0° center, 12: 75° left). Left figure: Data for the 2-octave wide filter conditions (CFs of 250, 2000, and 4000 Hz). Right figure: Data for the 1/10th octave filter conditions (CFs of 250, 2000, and 4000 Hz). Data are averaged over duration, overall level, and listeners. Error bars are ± one standard deviation.
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