A localization algorithm based on head-related transfer functions.
Two sound localization algorithms based on the head-related transfer function were developed. Each of them uses the interaural time delay, interaural level difference, and monaural spectral cues to estimate the location of a sound source. Given that most localization algorithms will be required to function in background noise, the localization performance of one of the algorithms was tested at signal-to-noise ratios (SNRs) from 40 to -40 dB. Stimuli included ten real-world, broadband sounds located at 5 degrees intervals in azimuth and at 0 degrees elevation. Both two- and four-microphone versions of the algorithm were implemented to localize sounds to 5 degrees precision. The two-microphone version of the algorithm exhibited less than 2 degrees mean localization error at SNRs of 20 dB and greater, and the four-microphone version committed approximately 1 degrees mean error at SNRs of 10 dB or greater. Potential enhancements and applications of the algorithm are discussed.
U.S. Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, Maryland 21005, USA. jmacd@nmsu.edu
Justin A
JA
Macdonald
D000465:Algorithms; D001307:Auditory Perception; D006257:Head; D006309:Hearing / Q000502:physiology; D006801:Humans; D008954:Models, Biological; D009622:Noise; D012371:Robotics