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Sensors 2015, 15(2), 3872-3895; doi:10.3390/s150203872

Monaural Sound Localization Based on Structure-Induced Acoustic Resonance

Division of Electronics & Electrical Engineering, Dongguk University-Seoul, Seoul 100-715, Korea
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Received: 2 December 2014 / Accepted: 3 February 2015 / Published: 6 February 2015
(This article belongs to the Special Issue Acoustic Waveguide Sensors)
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Abstract

A physical structure such as a cylindrical pipe controls the propagated sound spectrum in a predictable way that can be used to localize the sound source. This paper designs a monaural sound localization system based on multiple pyramidal horns around a single microphone. The acoustic resonance within the horn provides a periodicity in the spectral domain known as the fundamental frequency which is inversely proportional to the radial horn length. Once the system accurately estimates the fundamental frequency, the horn length and corresponding angle can be derived by the relationship. The modified Cepstrum algorithm is employed to evaluate the fundamental frequency. In an anechoic chamber, localization experiments over azimuthal configuration show that up to 61% of the proper signal is recognized correctly with 30% misfire. With a speculated detection threshold, the system estimates direction 52% in positive-to-positive and 34% in negative-to-positive decision rate, on average. View Full-Text
Keywords: sound localization; angle of arrival; monaural localization; acoustic resonance; pyramidal horn; cylindrical pipe; fundamental frequency; Cepstrum; discrete Fourier transform; single microphone sound localization; angle of arrival; monaural localization; acoustic resonance; pyramidal horn; cylindrical pipe; fundamental frequency; Cepstrum; discrete Fourier transform; single microphone
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kim, K.; Kim, Y. Monaural Sound Localization Based on Structure-Induced Acoustic Resonance. Sensors 2015, 15, 3872-3895.

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