Estimation of Trajectory and Location for Mobile Sound Source

Abstract: In this paper, we present an approach to estimate mobile sound source trajectory. An artificially created sound source signal is used in this work. The main aim of this paper is to estimate the mobile object trajectory via sound processing methods. The performance of generalized cross correlation techniques is compared with that of noise reduction filters for the success of trajectory estimation. The azimuth angle between the sound source and receiver is calculated during the whole movement. The parameter of Interaural Time Difference (ITD) is utilized for determining azimuth angle. The success of estimated delay is compared with different types of Generalized Cross Correlation (GCC) algorithms. In this study, an approach for sound localization and trajectory estimation on 2D space is proposed. Besides, different types of pre-filter method are tried for removing the noise and signal smoothing of recorded sound signals. Some basic parameters of sound localization process are also explained. Moreover, the calculation error of average azimuth angle is compared with different GCC and pre-filtered methods. To conclude, it is observed that estimation of location and trajectory information of a mobile object from a stereo sound recording is realized successfully.

Mehmet Cem Catalbas, Merve Yildirim, Arif Gulten, Hasan Kurum and Simon Dobrišek. “Estimation of Trajectory and Location for Mobile Sound Source”. International Journal of Advanced Computer Science and Applications (IJACSA) 7.9 (2016). http://dx.doi.org/10.14569/IJACSA.2016.070934

@article{Catalbas2016,
title = {Estimation of Trajectory and Location for Mobile Sound Source},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070934},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070934},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {9},
author = {Mehmet Cem Catalbas and Merve Yildirim and Arif Gulten and Hasan Kurum and Simon Dobrišek}
}