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My Conferecence Publication

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The presentation at IEEE SoutheastCon Conference. The work is published in the conference proceedings

The presentation at IEEE SoutheastCon Conference. The work is published in the conference proceedings

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  • I am Harikrishnan from University of Kentucky. I would like to present the work done by us on Sound Source detection technique, called Steered Response Power using phase transform.

Transcript

  • 1. Experimental Performance Analysis of Sound Source Detection with SRP PHAT- β Anand Ramamurthy, Harikrishnan Unnikrishnan, Kevin. D. Donohue Center For Visualization & Virtual Environments Funded in part by NSF EPSCoR Program UNIVERSITY OF KENTUCKY College of Engineering Department of Electrical and Computer Engineering
  • 2. Sound Source Detection
    • Objective :
      • To detect and locate a sound source within a space of interest.
    • Approach
      • Using spatially distributed microphone array.
    • Application
      • Speech recognition
      • Teleconferencing
      • Security surveillance
  • 3. Objective
    • Detection analysis with experimental data to compare the impact of various implementations of whitening process to enhance sound source detection.
  • 4. Steered Response Power
    • Robust algorithm
    • Especially in the presence of multiple interfering sources
    • Each point defined by a unique set of delays to the microphone array
    z
  • 5.
    • Signals received at each microphone aligned together by adding appropriate delay.
    • Coherent power is computed
    • Power estimate used for detection and localization.
    Steered Response Coherent Power
  • 6. SRCP ∑ Compute Coherent Power (x,y,z) Uniquely defines (x,y,z)
  • 7. SRCP …
    • Power estimates get corrupted by noises
      • Interfering sources and ambient noise (Uncorrelated)
      • Reverberations (Highly Correlated)
    Coherent Summation Incoherent Summation
  • 8. PHAT
    • Phase Transform
      • Spectral whitening
    • Lower frequencies have higher contribution to signal power.
    • Higher frequencies also contains significant information (phase).
    • SRCP- PHAT is a measure of coherence and not the signal magnitude.
  • 9. PHAT
  • 10. SRCP – PHAT
    • Works well with broad band signals
  • 11. PHAT - β
    • Speech is a combination of narrow and wideband signal.
    • β - Controls the extend of whitening
    • 0 ≤ β ≤ 1
    • This work aims to find the ideal value for β
  • 12. Experimental Setup Speakers (sound source) Office Wall Microphones Field of View
  • 13. Test Signals Used
    • Broad band : 400Hz – 5600 Hz colored noise
    • Narrowband : 400Hz – 600 Hz colored noise
    • Sampling frequency of 16 kHz
  • 14. Results
  • 15. ROC
    • Receiver Operation Characteristics
    • True Detection vs False Alarm
    • Area under the curve gives an Indication of decision making capability
    • Used in Biomedical, RADAR applications
  • 16. Narrow band Broad band Low reverb. High reverb.
  • 17. Conclusion
    • PHAT – β out performs conventional PHAT in varied operating conditions
    • β ranging from 0.65 – 0.7 would give superior performance for speech signal
    • The results are in close agreement with the previous simulation studies.
      • - Done by Kevin D. Donhue, J. Hannemann and H.G. Dietz
    Signal type Low reverb. High Reverb. Narrow band 0.4 – 0.75 0.2 – 0.7 Broadband 0.65 – 0.9 0.6 – 1