Electronic Journal Technical Acoustics ISSN 1819-2408

Doh-Hyoung Kim, Youngjin Park

Development of moving sound source localization system

language: English

received 13.04.2005, published 12.05.2006

Download article (PDF, 680 kb, ZIP), use browser command "Save Target As..."
To read this document you need Adobe Acrobat © Reader software, which is simple to use and available at no cost. Use version 4.0 or higher. You can download software from Adobe site (http://www.adobe.com/).

ABSTRACT

This paper proposes a novel approach of moving sound source localization using adaptive time delay estimation (TDE) algorithm and active-positioning of microphone arrays. Using the adaptive TDE that continuously estimates the time differences between the captured signals in the microphones sensors, the active-positioning controller keeps track of the source direction by rotating arrays mechanically. Theoretical analysis and computer simulations of the convergence characteristics of the proposed TDE algorithm are presented. The active-positioning array guarantees the highest delay-position sensitivity with smaller number of microphones than the fixed arrays. The overall performance is shown by using an experimental prototype system.

12 pages, 7 figures

Сitation: Doh-Hyoung Kim, Youngjin Park. Development of moving sound source localization system. Electronic Journal “Technical Acoustics”, http://www.ejta.org, 2006, 11.

REFERENCES

[1] Michael S. Brandstein, Harvey F. Silverman. A practical methodology for speech source localization with microphone arrays. Computer Speech and Language, May 1997.
[2] R. D. Short. Sting ray - a sound-seeking missile. IEE Review, 35(11), 419-423, December 1989.
[3] J. Borenstein, Y. Koren. Obstacle avoidance with ultrasonic sensors. IEEE Journal of Robotics and Automation, 4(2), 213-218, 1988.
[4] H. G. Okuno, K. Nakadai, K. I. Hidai, H. Mizoguchi, H. Kitano. Human-robot interaction through real-time auditory and visual multiple-talker tracking. Proceedings of 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol.3, 1402-1409, 2001.
[5] Yiteng Huang, J. Benesty, G. W. Elko. Passive acoustic source localization for video camera steering. In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 2, pages II909-II912, 2000.
[6] H. Meyr. Delay-lock tracking of stochastic signals. IEEE Transactions on Communications, 24(3), 331-339, March 1976.
[7] D. Etter, S. Stearns. Adaptive estimation of time delays in sampled data systems. IEEE Transactions on Acoustic Speech and Signal Processing, 29(3), 582-587, June 1981.
[8] H. Messer, Y. Bar-Ness. Closed-loop least mean square time-delay estimator. IEEE Transactions on Acoustic Speech and Signal Processing, 35(4), 413-424, April 1987.
[9] H. Messer. A unified approach to closed-loop time delay estimation systems. IEEE Transactions on Acoustic Speech and Signal Processing, 36(6), 854-861, June 1988.
[10] H. C. So, P. C. Ching, Y. T. Chan. A new algorithm for explicit adaptation of time delay. IEEE Transactions on Signal Processing, 42(7), 1816-1820, July 1994.
[11] M. Vetterli, J. Kovacević. Wavelets and subband coding. Prentice Hall, 1995.
[12] C. Knapp, G. Carter. The generalized correlation method for estimation of time delay. IEEE Transactions on Acoustic Speech and Signal Processing, 24(4), 320-327, August 1976.
[13] F. A. Reed, P. L. Feintuch, N. J. Bershad. Time delay estimation using the LMS adaptive filter - static behavior. IEEE Transactions on Acoustic Speech and Signal Processing, 29(3), 561-571, June 1981.
[14] P. L. Feintuch, N. J. Bershad, F. A. Reed. Time delay estimation using the LMS adaptive filter - dynamic behavior. IEEE Transactions on Acoustic Speech and Signal Processing, 29(3), 571-576, June 1981.
[15] D. H. Youn, Nasir Ahmed, G. Cliford Carter. On using the LMS algorithm for time delay estimation. IEEE Transactions on Acoustic Speech and Signal Processing, 30(5), 1982.
[16] Richard C. Cabot. A note on the application of the Hilbert transform to time delay estimation. IEEE Transactions on Acoustic Speech and Signal Processing, 29(3), 1981.
[17] Doh-Hyoung Kim, Sound Source Direction Estimation for Mobile Systems. Ph.D. Thesis, Korea Advanced Institute of Science and Technology, 2005.
[18] Hassan K Khalil, Nonlinear Systems, 3rd ed., Prentice Hall, 2001.

		Doh-Hyoung Kim received a B.S. degree in Aerospace Engineering and Electronics Engineering from Korea Advanced Institute of Science and Technology(KAIST), Republic of Korea in 1997. He received a M.S. and Ph.D. degrees in Mechanical Engineering, in 1999 and 2005, respectively. Currently, he works for Mobile Multimedia Laboratory, LG Electronics. His research includes adaptive signal processing, active noise and vibration control and mobile multimedia. e-mail: kim.dohhyoung(at)gmail.com, dh_kim(at)kaist.ac.kr
		Youngjin Park received a B.S. and M.S degrees in Mechanical Engineering and Mechanical Design, Seoul National University, Republic of Korea in 1980 and 1982, respectively. He received a Ph.D. degree in Mechanical Engineering from the University of Michigan, Ann Arbor, in 1987. He was an assistant professor in the Department of Mechanical Engineering and Industrial Engineering at New Jersey Institute of Technology from 1988 to 1990. He joined the Department of Mechanical Engineering at KAIST in 1990 where he is currently a professor. His research interests are in Dynamic System Modeling and Identification, Model Order Reduction, Nonlinear Control, Neural Network, Robust Control, and Active Suspension and Active Noise and Vibration Control. He is the member of American Society of Mechanical Engineers. e-mail: yjpark(at)kaist.ac.kr