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DWT Based Source Localization Using Microphone Array

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Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) (SoCPaR 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 614))

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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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Authors and Affiliations

  1. Electronics and Communication Engineering, Birla Institute of Technology Mesra, Ranchi, India

    Manoj Kumar Mukul

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  1. Manoj Kumar Mukul
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Correspondence to Manoj Kumar Mukul .

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Editors and Affiliations

  1. Scientific Network for Innovation and Research, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. VIT University, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. School of Engineering, Polytechnic of Porto (ISEP/IPP), Porto, Portugal

    Ana Maria Madureira

  4. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Mukul, M.K. (2018). DWT Based Source Localization Using Microphone Array. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_22

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  • DOI: https://doi.org/10.1007/978-3-319-60618-7_22

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