Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays
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 clust...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2013-11-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2013.04006 |
| _version_ | 1818252172795576320 |
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| author | CHEN, Z. ZHANG, Q. YIN, F. |
| author_facet | CHEN, Z. ZHANG, Q. YIN, F. |
| author_sort | CHEN, Z. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T16:19:57Z |
| format | Article |
| id | doaj.art-cb8cf535d9634870b04d7e9cd9417c60 |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-12T16:19:57Z |
| publishDate | 2013-11-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-cb8cf535d9634870b04d7e9cd9417c602022-12-22T00:19:01ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002013-11-01134334010.4316/AECE.2013.04006Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone ArraysCHEN, Z.ZHANG, Q.YIN, F.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.http://dx.doi.org/10.4316/AECE.2013.04006acoustic source localizationBP neural networkmicrophone clusteringGCC-PHATTDOA |
| spellingShingle | CHEN, Z. ZHANG, Q. YIN, F. Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays Advances in Electrical and Computer Engineering acoustic source localization BP neural network microphone clustering GCC-PHAT TDOA |
| title | Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays |
| title_full | Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays |
| title_fullStr | Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays |
| title_full_unstemmed | Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays |
| title_short | Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone Arrays |
| title_sort | microphone clustering and bp network based acoustic source localization in distributed microphone arrays |
| topic | acoustic source localization BP neural network microphone clustering GCC-PHAT TDOA |
| url | http://dx.doi.org/10.4316/AECE.2013.04006 |
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