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Poster abstract: voxnet acoustic array for multiple bird source separation by beamforming using measured data

Published: 08 April 2013 Publication History

Abstract

In this paper, we present simulation and experimental studies of multiple bird source separation based on the Voxnet acoustic array node. The Approximate Maximum Likelihood (AML) method is used to estimate blindly the direction-of-arrivals(DOAs) of the sources to generate the steering vectors in order to separate the sources via beamforming. Simulation and measured data confirmed the proper operations of the AML beamforming algorithm and the Voxnet hardware node.

References

[1]
J. C. Chen, R. E. Hudson, and K. Yao, "Maximum-Likelihood Source Loc. and Unknown Sensor Loc.Est. for Wideband Signals in the Near-Field". IEEE Trans. Signal Proessing, pp. 1843--1854, Aug. 2002.
[2]
P. Bergamo, S. Asgari, H. Wang, D. Maniezzo, L.Yip, R.E. Hudson, K. Yao, and D. Estrin, "Collaborative. Sensor Networking Toward Real-Time Acoustical Beamforming in Free-Space and Limited Reverberance," IEEE Trans. on Mobile Computing, pp. 211- 224, July 2004.

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  1. Poster abstract: voxnet acoustic array for multiple bird source separation by beamforming using measured data

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    cover image ACM Conferences
    IPSN '13: Proceedings of the 12th international conference on Information processing in sensor networks
    April 2013
    372 pages
    ISBN:9781450319591
    DOI:10.1145/2461381

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    New York, NY, United States

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    Published: 08 April 2013

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    Author Tags

    1. AML
    2. beamforming
    3. source separation
    4. voxnet

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    IPSN '13 Paper Acceptance Rate 24 of 115 submissions, 21%;
    Overall Acceptance Rate 143 of 593 submissions, 24%

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