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Accuracy Study of a Real-Time Hybrid Sound Source Localization Algorithm

  • Fernando A. Escobar
  • Xin Chang
  • Christian Ibala
  • Carlos Valderrama
Conference paper
  • 508 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 124)

Abstract

Sound source localization in real time can be employed in numerous applications such as filtering, beamforming, security system integration, etc. Algorithms employed in this field require not only fast processing speed but also enough accuracy to properly cope with the application requirements. This work presents accuracy benchmarks of a hybrid approach previously proposed, which is based on the Generalized Cross Correlation (GCC), and the Delay and Sum beamforming (DSB). Tests were performed considering a linear microphone array simulated in MATLAB. Analysis through variations in array size, number of microphones, spacing and other characteristics, were included. Results obtained show that the proposed algorithm is as good as the DSB under some conditions that can be easily met.

Keywords

Accuracy Sound localization Generalized Cross Correlation Beamforming Computational Complexity Real Time 

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References

  1. 1.
    Benesty, J., Chen, J., Huang, Y., Dmochowski, J.: On microphone-array beamforming from a mimo acoustic signal processing perspective. IEEE Transactions on Audio, Speech, and Language Processing 15(3), 1053–1065 (2007)CrossRefGoogle Scholar
  2. 2.
    Cox, H., Zeskind, R., Owen, M.: Robust adaptive beamforming. IEEE Transactions on Acoustics, Speech and Signal Processing 35(10), 1365–1376 (1987)CrossRefGoogle Scholar
  3. 3.
    Dmochowski, J.P., Benesty, J., Affes, S.: A generalized steered response power method for computationally viable source localization. IEEE Transactions on Audio, Speech, and Language Processing 15(8), 2510–2526 (2007)CrossRefGoogle Scholar
  4. 4.
    Escobar, F.A., Ibala, C., Chang, X., Valderrama, C.: Fast accurate hybrid algorithm for sound source localization in real time. International Journal of Sensors and Related Networks 1(1), 1–7 (2013)Google Scholar
  5. 5.
    Fréchette, M., Letourneau, D., Valin, J.-M., Michaud, F.: Integration of sound source localization and separation to improve dialogue management on a robot. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2358–2363. IEEE (2012)Google Scholar
  6. 6.
    Hörnstein, J., Lopes, M., Santos-Victor, J.: Sound localization for humanoid robots building audio-motor maps based on the hrtf (2006)Google Scholar
  7. 7.
    Ibala, C., Vachaudez, J., Fourtounis, G., Possa, P., Valderrama, C.: Combining sound source tracking algorithms based on microphone array to improve real-time localization. In: 2012 Proceedings of the 19th International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES), pp. 478–483 (May 2012)Google Scholar
  8. 8.
    Ibala, C., Escobar, F.A., Chang, X., Valderrama, C.: Hybrid algorithm computation methodology to accelerate sound source localization. International Journal of Microelectronics and Computer Science 3(3), 99–110 (2012)Google Scholar
  9. 9.
    Knapp, C., Carter, G.: The generalized correlation method for estimation of time delay. IEEE Transactions on Acoustics, Speech and Signal Processing 24(4), 320–327 (1976)CrossRefGoogle Scholar
  10. 10.
    Li, Q., Zhu, M., Li, W.: A portable usb-based microphone array device for robust speech recognition. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2009, pp. 1301–1304 (April 2009)Google Scholar
  11. 11.
    MacDonald, J.A.: An algorithm for the accurate localization of sounds (2005)Google Scholar
  12. 12.
    McCowan, I.: Robust speech recognition using microphone arrays (2001)Google Scholar
  13. 13.
    University of Kentucky. Performance analysis of srcp image based sound source detection algorithms (2010)Google Scholar
  14. 14.
    Rothbuncher, M., Kronmuller, D., Durkovic, M., Habigt, T., Diepold, K.: Hrtf sound localization (2011)Google Scholar
  15. 15.
    Sasaki, Y., Kabasawa, M., Thompson, S., Kagami, S., Oro, K.: Spherical microphone array for spatial sound localization for a mobile robot. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 713–718. IEEE (2012)Google Scholar
  16. 16.
    Sun, D., Canny, J.: A high accuracy, low-latency, scalable microphone-array system for conversation analysis (2012)Google Scholar
  17. 17.
    Tashev, I.J.: Sound Capture and Processing: Practical Approaches. Wiley Publishing (2009)Google Scholar
  18. 18.
    Valin, J.-M., Michaud, F., Rouat, J., Letourneau, D.: Robust sound source localization using a microphone array on a mobile robot. In: Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), vol. 2, pp. 1228–1233 (October 2003)Google Scholar
  19. 19.
    Valin, J.-M., Michaud, F., Rouat, J.: Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering. Robotics and Autonomous Systems 55(3), 216–228 (2007)CrossRefGoogle Scholar
  20. 20.
    Zwyssig, E., Lincoln, M., Renals, S.: A digital microphone array for distant speech recognition. In: 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 5106–5109 (March 2010)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Fernando A. Escobar
    • 1
  • Xin Chang
    • 1
  • Christian Ibala
    • 2
  • Carlos Valderrama
    • 1
  1. 1.Université de MonsBelgium
  2. 2.University of LimerickIreland

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