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.
Macdonald
Justin A
JA
U.S. Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, Maryland 21005, USA. jmacd@nmsu.edu
D000465:Algorithms; D001307:Auditory Perception; D006257:Head; D006309:Hearing / Q000502:physiology; D006801:Humans; D008954:Models, Biological; D009622:Noise; D012371:Robotics