1 / 9

Acoustic Source Tracking Using Microphone Array

Explore microphone array technology for video conferencing, surveillance, and vehicle systems. Learn TDOA approach, challenges like reverberation, noise, and key references.

lsanson
Download Presentation

Acoustic Source Tracking Using Microphone Array

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Acoustic source tracking using microphone array R94922079 羅子建 R94922124 林祺豪

  2. Outline • Scenario • Motivation • Approach • Problems • References

  3. Scenario • Video conference • Surveillance system • Automatic vehicle system

  4. Motivation • Why microphone arrays? • Low price • Less effect of occlusion • the light may change strongly • Provide another information about the tracking target

  5. Approach (1/2) • Time delay of arrival (TDOA)

  6. Approach (2/2)

  7. Problems • Reverberation • Background noise • Sensor noise

  8. References (1/2) • C. H. Knapp and G. C. 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, 1976. • N. Strobel, T. Meier, and R. Rabenstein, “Speaker localization using steered filtered-and-sum beamformers,” in Proc. Erlangen Workshop on Vision, Modeling, and Visualization, Erlangen, Germany, 1999, pp. 195–202. • S. T. Birchfield and D. K. Gillmor, “Fast Bayesian acoustic localization,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ’02), vol. 2, pp. 1793–1796, Orlando, Fla, USA, May 2002. • D. B. Ward, E. A. Lehmann, and R. C. Williamson, “Particle filtering algorithms for tracking an acoustic source in a reverberant environment,” IEEE Transactions on Speech and Audio Processing, vol. 11, no. 6, pp. 826–836, 2003. • T. G. Dvorkind and S. Gannot, “Speaker localization exploiting spatial-temporal information,” in Proceedings of the IEEE International Workshop on Acoustic Echo and Noise Control (IWAENC ’03), pp. 295–298, Kyoto, Japan, September 2003.

  9. References (2/2) • J. McDonough, U. Klee, and T. Gehrig, “Kalman filtering for time delay of arrival-based source localization,” Tech. Rep. 104, Interactive Systems Laboratories, Universit¨at Karlsruhe, Karlsruhe, Germany, December 2004. • Ulrich Klee, Tobias Gehrig, and John McDonough , “Kalman Filters for Time Delay of Arrival-Based Source Localization,” EURASIP Journal on Applied Signal Processing Volume 2006 (2006) • Sharon Gannot and Tsvi Gregory Dvorkind, “Microphone Array Speaker Localizers Using Spatial-Temporal Information, ”EURASIP Journal on Applied Signal Processing Volume 2006 (2006).

More Related