DWT based source localization using microphone array

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Abstract

This paper presents the novel system for automatic camera steering towards the active speakers in the conference room environment. The speech signal captured by the array is analysed simultaneously in time-frequency domain using Short Time Fourier Transform (STFT) and Discrete Wavelet Transform (DWT). This paper analyses and studies the concepts and performance of Beamforming and Subspace methods based on above transform in estimating the direction of arrival (DOA) of speech signals impinging on the array. The estimated DOA is converted into rotational command and inputted to the motor controller unit to rotate the mounted camera motor. The presented system is controlled interactively by graphical user interface (GUI) developed using MATLAB. Experimental results show that DWT based Subspace methods outperform in localizing the speakers.

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Mukul, M. K. (2018). DWT based source localization using microphone array. In Advances in Intelligent Systems and Computing (Vol. 614, pp. 223–233). Springer Verlag. https://doi.org/10.1007/978-3-319-60618-7_22

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