| 4/2013 - 6 |
Microphone Clustering and BP Network based Acoustic Source Localization in Distributed Microphone ArraysZHANG, Q.   , CHEN, Z. , YIN, F. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (812 KB) | Citation | Downloads: 1,035 | Views: 4,609 |
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. |
| References | | | Cited By «-- Click to see who has cited this paper |
| [1] M. R. Bai, C. Lin, "Microphone array signal processing with application in three-dimensional spatial hearing", The Journal of the Acoustical Society of America, vol. 117, no. 4, pp. 2112-2121, Apr. 2005. [CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9] [2] Z. Zhang, A. G. Andreou, "Slow moving vehicles using the microphone arrays in the Hopkins acoustic surveillance unit", Micro-Nanoelectronics, Technology and Applications, pp. 140-143, Buenos Aires, Argentina, Sept. 2008. [3] Z. W. Yu, Z. Y. Yu, H. Aoyama, M. Ozeki, Y. Nakamura, "Capture, recognition, and visualization of human semantic interactions in meetings", IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 107-115, Mannheim, German, March-April 2010. [CrossRef] [SCOPUS Times Cited 26] [4] C. Zhang, D. Florencio, D. E. Ba, Z. Zhang, "Maximum likelihood sound source localization and beam-forming for directional microphone arrays in distributed meetings", IEEE Transaction on Pervasive Computing and Communications, vol. 10, no. 3, pp. 538-548, Apr. 2008. [CrossRef] [Web of Science Times Cited 130] [SCOPUS Times Cited 169] [5] J. Benesty, Y. Huang, and J. Chen, "Time delay estimation via minimum entropy", IEEE Signal Processing Letters, vol. 14, no. 3, pp. 157-160, Mar. 2007. [CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 88] [6] R. Roy, A. Paulraj, T. Kailath, "Direction-of-arrival estimation by subspace rotation methods - ESPRIT", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, vol. 11, pp. 2495-2498, Tokyo, Japan, Apr. 1986. [CrossRef] [7] D. R. Farrier , "Direction of arrival estimation by subspace methods", IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5, pp. 2651-2654, Albuquerque, New Mexico, USA, Apr. 1990. [CrossRef] [Web of Science Times Cited 1] [8] M. Cobos, A. Marti, J. Lopez, "A modified SRP-PHAT functional for robust real-time sound source localization with scalable spatial sampling", IEEE Signal Processing Letters, vol. 18, no. 1, Jan. 2011. [CrossRef] [Web of Science Times Cited 134] [9] Y. Rui , D. Florencio , W. Lam, J. Su," Sound source localization for circular arrays of directional microphones", IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. iii/93-iii/96, Pennsylvania, USA, Mar. 2005. [CrossRef] [SCOPUS Times Cited 21] [10] P. Aarabi, "The fusion of distributed microphone arrays for sound localization", EURASIP Journal on Advances in Signal Processing, pp. 338-347, Jan. 2003. [CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 113] [11] E. Elahi, "Sound localization and tracking using distributed microphones fusion: maximum likelihood or maximum a-posteriori approach?", The 2nd International Conference on Computer, Control and Communication, pp. 1-6, Karachi, Pakistan, Feb. 2009. [CrossRef] [SCOPUS Times Cited 3] [12] T. Takagi, H. Noguchi, K. Kugata, "Microphone array network for ubiquitous sound acquisition", IEEE International Conference on Acoustics Speech and Signal Processing, pp. 1474-1477, Dallas, Texas, USA, Mar. 2010. [CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 10] [13] G. Valenzise, G. Prandi, M. Tagliasacchi, A. Sarti, "Resource constrained efficient acoustic source localization and tracking using a distributed network of microphones", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2581-2584, Las Vegas, USA, March - April 2008. [CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 7] [14] C. Knapp, G. Carter, "The generalized correlation method for estimation of time delay", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 24, no. 4, pp. 320-327, Aug. 1976. [CrossRef] [Web of Science Times Cited 2842] [SCOPUS Times Cited 3823] [15] J. S. Hu, C. H. Yang, C. K. Wang, "Estimation of sound source number and directions under a multi-source environment", IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 181-186, St. Louis, USA, Oct. 2009. [CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 10] [16] D. Arthur, S. Vassilvitskii, "k-means++: the advantages of careful seeding", Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027-1035, PA, USA, 2007. [17] G. Arslan, F. A. Sakarya, "A unified neural-network-based speaker localization technique", IEEE Transactions on Neural Networks, vol. 11, no. 4, pp. 997-1002, Jul. 2000. [CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 26] [18] G. Yang, J. Jongdae, S. Donggug, "Sound-source localization system based on neural network for mobile robots", IEEE International Joint Conference on Neural Networks, IEEE World Congress on Computational Intelligence, pp. 3126-3130, Hong Kong, China, Jun. 2008. [CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 5] [19] V. H. Dang, T. P. Phan, B. V. Le, Y. K. Lee, "Clustering based multi-object positioning system", International Conference on Advanced Technologies for Communications (ATC), pp. 40-44, Da Nang, Vietnam, Aug. 2011 [CrossRef] [SCOPUS Times Cited 4] [20] A. Y. Nakano, K. Yamamoto, S. Nakagawa, "Directional acoustic source's position and orientation estimation approach by a microphone array network", IEEE Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, pp. 606-611, Marco Island, Florida, USA, Jan. 2009. [CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 25] [21] I. Himawan, I. McCpwam, S. Sridharam, "Clustered blind beamforming from Ad-Hoc microphone arrays", IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 4, pp. 661-676, May. 2011. [CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 62] [22] T. L. Nwe, H. Sun, B. Ma, H. Li, "Speaker clustering and cluster purification methods for RT07 and RT09 Evaluation meeting data", IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 2, pp. 461-473, Feb. 2012. [CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 16] [23] M. Souden, K. Kinoshita, M. Delcroix, T. Nakatani, "Distributed microphone array processing for speech source separation with classifier fusion", IEEE International Workshop on Machine Leaning for Signal processing (MLSP), pp. 1-6, Santander, Spain, Sept. 2012. [CrossRef] [SCOPUS Times Cited 15] [24] H. Chen, C. K. Tse, J. B. Feng, "Minimizing effective energy consumption in multi-cluster sensor network for source extraction", IEEE Transactions on Wireless Communications, vol. 8, no. 3, pp. 1480-1489, Mar. 2009. [CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 26] [25] B. R. Dai, J. W. Huang, M. Y. Yeh, M. S. Chen, "Adaptive clustering for multiple evolving streams", IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 9, pp. 1166-1180, Sept. 2006. [CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 92] [26] M. Chen, Z. Liu, L. W. He, P. Chou, Z. Y. Zhang "Energy-based position estimation of microphones and speakers for Ad Hoc microphone arrays", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 22-25, Honolulu, HI, USA, Oct. 2007. [CrossRef] [SCOPUS Times Cited 55] [27] E. A. Lehmann, A. M. Johansson, "Prediction of energy decay in room impulse responses simulated with an image-source model", The Journal of Acoustic Society of America, vol. 124, no. 1, Jun, 2008. [CrossRef] [Web of Science Times Cited 263] [SCOPUS Times Cited 334] Web of Science® Citations for all references: 3,715 TCR SCOPUS® Citations for all references: 4,939 TCR Web of Science® Average Citations per reference: 133 ACR SCOPUS® Average Citations per reference: 176 ACR TCR = Total Citations for References / ACR = Average Citations per Reference We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more Citations for references updated on 2024-11-24 08:26 in 169 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
