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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2013 - 7

 HIGHLY CITED PAPER 

A Time Delay Estimation Method Based on Wavelet Transform and Speech Envelope for Distributed Microphone Arrays

CHEN, Z. See more information about CHEN, Z. on SCOPUS See more information about CHEN, Z. on IEEExplore See more information about CHEN, Z. on Web of Science, WANG, S. See more information about  WANG, S. on SCOPUS See more information about  WANG, S. on SCOPUS See more information about WANG, S. on Web of Science, YIN, F. See more information about YIN, F. on SCOPUS See more information about YIN, F. on SCOPUS See more information about YIN, F. on Web of Science
 
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Download PDF pdficon (775 KB) | Citation | Downloads: 769 | Views: 3,656

Author keywords
microphone arrays, time of arrival estimation, Wavelet transforms, envelope detectors, speech processing

References keywords
signal(11), processing(10), microphone(8), localization(7), sound(5), distributed(5), arrays(5), acoustics(5), time(4), estimation(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 39 - 44
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03007
Web of Science Accession Number: 000326321600007
SCOPUS ID: 84884969621

Abstract
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Full text preview
A time delay estimation method based on wavelet transform and speech envelope is proposed for distributed microphone arrays. This method first extracts the speech envelopes of the signals processed with multi-level discrete wavelet transform, and then makes use of the speech envelopes to estimate a coarse time delay. Finally it searches for the accurate time delay near the coarse time delay by the cross-correlation function calculated in time domain. The simulation results illustrate that the proposed method can accurately estimate the time delay between two distributed microphone array signals.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Mukul, R. Prasad, M. Choudhary, et al, "Steering of camera by stepper motor towards active speaker using microphone array," The Society of Instrument and Control Engineers (SICE) Annual Conference, Tokyo, Japan, 2008, pp.19-24.

[2] H. Buchner, W. Kellermann, "An acoustic human-machine interface with multi-channel sound reproduction," IEEE Fourth Workshop on Multimedia Signal Processing, Cannes, France, 2001, pp.359-364.
[CrossRef] [Web of Science Times Cited 4]


[3] B. Mrazovac, M. Bjelica, I. Papp, et al, "Smart audio/video playback control based on presence detection and user localization in home environment," The 2nd Eastern European Regional Conference on the Engineering of Computer Based Systems (ECBS-EERC), Bratislava, Slovakia, 2011, pp.44-53.

[4] Y. Sasaki, Y. Tamai, S. Kagami, et al, "2D sound source localization on a mobile robot with a concentric microphone array," IEEE International Conference on Systems, Man and Cybernetics, Hawaii, USA, 2005, Vol.4, pp. 3528-3533.
[CrossRef]


[5] Y. Jia, Y. Luo, Y. Lin, "Distributed microphone arrays for digital home and office," IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 2006, pp.V1065-V1068.
[CrossRef]


[6] H. Noguchi, T. Takagi, K. Kugata, et al, "Low-traffic and low-power data-intensive sound acquisition with perfect aggregation specialized for microphone array networks," The Fourth International Conference on Sensor Technologies and Applications, Venice, Italy, 2010, pp.157-162.

[7] T. Damarla, L. M. Kaplan, G. T. Whipps, "Sniper localization using acoustic asynchronous sensors," IEEE Sensors Journal, 2010, Vol. 10, No. 9, pp.1469-1478.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 65]


[8] P. Aarabi, The Integration and Localization of Distributed Sensor Arrays, Ph.D. Thesis, Stanford University, USA, May 2001.

[9] P. Aarabi, "Self-localizing dynamic microphone arrays," IEEE Trans. on System, Man, and Cybernetics, 2002, Vol.32, No.4, pp.474-484.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 55]


[10] M. Chen, Z. Liu, L. He, et al, "Energy-based position estimation of microphones and speakers for ad hoc microphone arrays," IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, New York, USA, October 2007, pp.22-25.
[CrossRef] [SCOPUS Times Cited 55]


[11] E. Elahi, "Sound localization and tracking using distributed microphones fusion: maximum likelihood or maximum a-posteriori approach," IEEE International Conference on Computer, Control and Communication, Karachi, Pakistan, 2009, pp.1-6.
[CrossRef] [SCOPUS Times Cited 3]


[12] D. H. Youn, N. Ahmed, G C Carter, "On using the LMS algorithm for time delay estimation," IEEE Trans. on Acoustics, Speech, and Signal Processing, 1982, Vol.30, No.5, pp.798-801.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 85]


[13] C. Knapp, G. Carter, "The generalized correlation method for estimation of time delay," IEEE Trans. on Acoustics, Speech, and Signal Processing, 1976, Vol.ASSP-24, No.4, pp.320-327.
[CrossRef] [Web of Science Times Cited 2760] [SCOPUS Times Cited 3710]


[14] C. Zhang, D. Florencio, D. E. Ba, et al, "Maximum likelihood sound source localization and beamforming for directional microphone arrays in distributed meetings," IEEE Trans. on Multimedia, 2008, Vol.10, No.3, pp. 538-548.
[CrossRef] [Web of Science Times Cited 129] [SCOPUS Times Cited 166]


[15] N. Ono, H. Kohno, N. Ito, et al, "Blind alignment of asynchronously recorded signals for distributed microphone array," IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, USA, 2009, pp.161-164.
[CrossRef] [SCOPUS Times Cited 94]


[16] A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing (3rd Edition). New Jersey, US: Pearson Education, 2009.

[17] J. S. Picard, A. J. Weiss, "Localization based on periodic signals with ambiguity," IEEE 26-th Convention of Electrical and Electronics Engineers in Israel, Eliat, Israel, 2010, pp.1007-1011.
[CrossRef] [SCOPUS Times Cited 1]


[18] J. Y. Lee, J. K. Kim, G. Yoon, "A digital envelope detection filter for blood pressure measurement," The 23rd Annual EMBS International Conference, Istanbul, Turkey, 2001, pp.226-228

[19] M. A. Poletti, "The homomorphic analytic signal," IEEE Trans. on Signal Processing, 1997, Vol. 45, No. 8, pp.1943-1953.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 23]


[20] N. E. Huang, Z. Shen, S. R Long, et al, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proceedings of the Royal Society of London, Series A, 1998, Vol.454, No.1971, pp. 903-995.

[21] S. Mallat, A Wavelet Tour of Signal Processing (3rd Edition). San Diego, CA, USA: Academic Press, 2008.

[22] I. Daubechies, Ten Lectures on Wavelets. Philadelphia, USA: SIAM (Society of Industrial and Applied Mathematics), 1992.

[23] M. J. Shensa, "The discrete wavelet transform: wedding the a trous and Mallat algorithms," IEEE Trans. on Signal Processing, 1992, Vol.40, No.10, pp.2464-2482.
[CrossRef] [Web of Science Times Cited 1350] [SCOPUS Times Cited 1693]


[24] P. S. Hagan, G. West, "Interpolation methods for curve construction," Applied Mathematical Finance, 2006, Vol.13, No.2, pp.89-129.
[CrossRef] [SCOPUS Times Cited 79]


[25] N. V. Thakor, J. G. Webster, W. J. Tompkins, "Estimation of QRS complex power spectra for design of a QRS filter," IEEE Trans. on Biomedical Engineering, 1984, Vol. BME-31, No. 11, pp. 702-706.
[CrossRef] [Web of Science Times Cited 262] [SCOPUS Times Cited 351]


[26] T. S. Rappaport, Wireless Communications: Principles and Practice (Second Edition). New Jersey, U.S.A.: Prentice Hall, 2001.



References Weight

Web of Science® Citations for all references: 4,682 TCR
SCOPUS® Citations for all references: 6,380 TCR

Web of Science® Average Citations per reference: 173 ACR
SCOPUS® Average Citations per reference: 236 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 2024-05-23 17:04 in 109 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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