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Sources Localization and DOAE Techniques of Moving Multiple Sources

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Direction of Arrival Estimation and Localization of Multi-Speech Sources

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSSPEECHTECH))

Abstract

Estimating the direction of non-stationary moving array as well as moving narrowband sources is considered an active research area. The most cutting-edge techniques are originated from the maximum likelihood (ML) and expectations maximization (EM) methods as they have a form of recursive extended Kalman filters and use built-in source-movement models. For non-stationary speech sources, nonparametric modeling of the source movements can be employed.

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Authors and Affiliations

  1. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

  2. Department of Electronics and Electrical Communication Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour

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  1. Nilanjan Dey
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  2. Amira S. Ashour
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Dey, N., Ashour, A.S. (2018). Sources Localization and DOAE Techniques of Moving Multiple Sources. In: Direction of Arrival Estimation and Localization of Multi-Speech Sources. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-73059-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-73059-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73058-5

  • Online ISBN: 978-3-319-73059-2

  • eBook Packages: EngineeringEngineering (R0)

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