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.
Highlights
The general definition of sound is pressure change versus time which is examined by microphone or microphone arrays
We propose a different approach for sound source localization which is 2D sound localization microphone pair in contrast to common approaches
Some basic parameters of sound signal processing are explained and they give an idea about sound signal localization, azimuth angle determination and exact localization of sound sources
Summary
The general definition of sound is pressure change versus time which is examined by microphone or microphone arrays. These differences are used for sound recognition, localization, and classification, etc. There are several areas of research for sound processing [3]. In parallel to technological improvement, sound localization is used in very different areas [5,6] such as security systems, cell phone, voice command application, and conference system, etc. The information of 3D coordinates is necessary for complex sound processing applications. We obtain 2D coordinates information for moving person via stereo sound recording [11].
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