Show Reference: "Robust and low complexity localization algorithm based on head-related impulse responses and interaural time difference"

Robust and low complexity localization algorithm based on head-related impulse responses and interaural time difference The Journal of the Acoustical Society of America, Vol. 133, No. 1. (01 January 2013), pp. EL40-EL46, doi:10.1121/1.4771972 by Xinwang Wan, Juan Liang
@article{wan-and-liang-2013,
    abstract = {This article introduces a biologically inspired localization algorithm using two microphones, for a mobile robot. The proposed algorithm has two steps. First, the coarse azimuth angle of the sound source is estimated by cross-correlation algorithm based on interaural time difference. Then, the accurate azimuth angle is obtained by cross-channel algorithm based on head-related impulse responses. The proposed algorithm has lower computational complexity compared to the cross-channel algorithm. Experimental results illustrate that the localization performance of the proposed algorithm is better than those of the cross-correlation and cross-channel algorithms.},
    author = {Wan, Xinwang and Liang, Juan},
    citeulike-article-id = {13445156},
    citeulike-linkout-0 = {http://dx.doi.org/10.1121/1.4771972},
    day = {01},
    doi = {10.1121/1.4771972},
    issn = {0001-4966},
    journal = {The Journal of the Acoustical Society of America},
    keywords = {auditory, auditory-processing, localization, robotic},
    month = jan,
    number = {1},
    pages = {EL40--EL46},
    posted-at = {2014-11-25 16:34:17},
    priority = {2},
    title = {Robust and low complexity localization algorithm based on head-related impulse responses and interaural time difference},
    url = {http://dx.doi.org/10.1121/1.4771972},
    volume = {133},
    year = {2013}
}

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Sound-source localization using head-related impulse response functions is precise, but computationally expensive.

Wan et al. use simple cross-correlation (which is computationally cheap, but not very precise) to localize sounds roughly. They then use the rough estimate to speed up MacDonald's cross-channel algorithm which uses head-related impulse response functions.