Abstract
This manuscript suggests an improved estimation method of the direction of arrival (DOA) for sound source localization (SSL) systems using a circular array (CMA). We have used the array incorporated in the Microsoft Kinect sensor device to acquire the source signal in real-time. The circular microphone array is composed of four microphones which have been used in two pairs (G1 and G2) at the same diameter to mount the experimental setup. The distance of the array size was defined beforehand. The estimated DOA has been investigated and compared with a linear microphone array (LMA). The sound source direction has been estimated using the interaural intensity difference (IID) calculated by the sound intensity (SI) measurement and the interaural time difference (ITD) calculated by the generalized cross-correlation with phase transform (GCC-PHAT) measurement. To test the effectiveness of the suggested method, MATLAB trials are carried out under three different sound source distances. Experimental results show that the superiority of our estimation method over the LMA configuration is confirmed by minimizing the error range and achieve a minimum accuracy of 84% and 60% using ITD and IID respectively. The main advantage of the method is the simplicity and good performance using an effective multimedia big data signal and it can be used by many SSL applications.
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Belgacem, D. (2022). Effective DOA Estimation Method for Sound Source Localization Using a Circular Microphone Array. In: Hatti, M. (eds) Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities. IC-AIRES 2021. Lecture Notes in Networks and Systems, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-92038-8_50
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DOI: https://doi.org/10.1007/978-3-030-92038-8_50
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