Loading…
This event has ended. Visit the official site or create your own event on Sched.
Welcome to ICSV26!
Back To Schedule
Monday, July 8 • 17:50 - 18:10
NEURAL NETWORK-BASED DIRECTION-OF-ARRIVAL ESTIMATION WITH CROSS CORRELATION FUNCTION

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Direction-of-arrival (DOA) estimation has been one of the important issues in acoustic signal processing. It is well known that the DOA can be estimated based on the cross correlation with stereo observations. It is, however, difficult to accurately estimate the DOA because the cross correlation-based function could not yield the sharp spatial feature. On the other hand, the multiple signal classification (MUSIC) algorithm provides the pointed spatial feature but it requires the exact number of sound sources in advance. In this paper, the cross correlation-based spatial feature is sharpened using a neural network. The neural network is trained using the cross correlation-based spatial feature calculated from the stereo observations and the binary teacher signals. It is confirmed that the non-linear cross correlation-based spatial feature has an extremely sharp peak at the direction of the target sound source without the information on the number of sound sources.

Moderators
TP

Thomas Padois

PhD, ÉTS

Authors

Monday July 8, 2019 17:50 - 18:10 EDT
Westmount 3
  T10 Sig. Proc. & nonlin. mthds., RS01 Sign process tech for ac array syst …