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Sensors 2017, 17(10), 2189; https://doi.org/10.3390/s17102189

Monaural Sound Localization Based on Reflective Structure and Homomorphic Deconvolution

1
Division of Electronics & Electrical Engineering, Dongguk University-Seoul, Seoul 04620, Korea
2
Department of Electrical & Computer Engineering, Mercer University, 1501 Mercer University Drive, Macon, GA 31207, USA
*
Author to whom correspondence should be addressed.
Received: 16 August 2017 / Revised: 16 September 2017 / Accepted: 19 September 2017 / Published: 23 September 2017
(This article belongs to the Section Physical Sensors)
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Abstract

The asymmetric structure around the receiver provides a particular time delay for the specific incoming propagation. This paper designs a monaural sound localization system based on the reflective structure around the microphone. The reflective plates are placed to present the direction-wise time delay, which is naturally processed by convolutional operation with a sound source. The received signal is separated for estimating the dominant time delay by using homomorphic deconvolution, which utilizes the real cepstrum and inverse cepstrum sequentially to derive the propagation response’s autocorrelation. Once the localization system accurately estimates the information, the time delay model computes the corresponding reflection for localization. Because of the structure limitation, two stages of the localization process perform the estimation procedure as range and angle. The software toolchain from propagation physics and algorithm simulation realizes the optimal 3D-printed structure. The acoustic experiments in the anechoic chamber denote that 79.0% of the study range data from the isotropic signal is properly detected by the response value, and 87.5% of the specific direction data from the study range signal is properly estimated by the response time. The product of both rates shows the overall hit rate to be 69.1%. View Full-Text
Keywords: sound localization; angle of arrival; monaural localization; acoustic reflection; time delay; homomorphic deconvolution; cepstrum; single microphone; far-field; 3D printer sound localization; angle of arrival; monaural localization; acoustic reflection; time delay; homomorphic deconvolution; cepstrum; single microphone; far-field; 3D printer
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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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Park, Y.; Choi, A.; Kim, K. Monaural Sound Localization Based on Reflective Structure and Homomorphic Deconvolution. Sensors 2017, 17, 2189.

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