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Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone ArraysZHANG, Q. , CHEN, Z. , YIN, F. |
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Author keywords
acoustic source localization, BP neural network, microphone clustering, GCC-PHAT, TDOA
References keywords
processing(17), signal(14), source(11), speech(9), microphone(9), sound(8), localization(8), estimation(7), acoustics(7), network(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 33 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04006
Web of Science Accession Number: 000331461300006
SCOPUS ID: 84890239023
Abstract
A microphone clustering and back propagation (BP) neural network based acoustic source localization method using distributed microphone arrays in an intelligent meeting room is proposed. In the proposed method, a novel clustering algorithm is first used to divide all microphones into several clusters where each one corresponds to a specified BP network. Afterwards, the energy-based cluster selecting scheme is applied to select clusters which are small and close to the source. In each chosen cluster, the time difference of arrival of each microphone pair is estimated, and then all estimated time delays act as input of the corresponding BP network for position estimation. Finally, all estimated positions from the chosen clusters are fused for global position estimation. Only subsets rather than all the microphones are responsible for acoustic source localization, which leads to less computational cost; moreover, the local estimation in each selected cluster can be processed in parallel, which expects to improve the localization speed potentially. Simulation results from comparison with other related localization approaches confirm the validity of the proposed method. |
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[1] DOA-Based Three-Dimensional Node Geometry Calibration in Acoustic Sensor Networks and Its Cramér–Rao Bound and Sensitivity Analysis, Wang, Rui, Chen, Zhe, Yin, Fuliang Yin, IEEE/ACM Transactions on Audio, Speech, and Language Processing, ISSN 2329-9290, Issue 9, Volume 27, 2019.
Digital Object Identifier: 10.1109/TASLP.2019.2921892 [CrossRef]
[2] Speaker tracking based on distributed particle filter and interacting multiple model in distributed microphone networks, Wang, Ruifang, Chen, Zhe, Yin, Fuliang, Applied Acoustics, ISSN 0003-682X, Issue , 2021.
Digital Object Identifier: 10.1016/j.apacoust.2020.107741 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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