DOA and Pitch Estimation of Audio Sources using IAA-based Filtering

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

113 Downloads (Pure)


For decades, it has been investigated how to separately solve the problems of both direction-of-arrival (DOA) and pitch estimation. Recently, it was found that estimating these parameters jointly from multichannel recordings of audio can be extremely beneficial. Many joint estimators are based on knowledge of the inverse sample covariance matrix. Typically, this covariance is estimated using the sample covariance matrix, but for this estimate to be full rank, many temporal samples are needed. In cases with non-stationary signals, this is a serious limitation. We therefore investigate how a recent joint DOA and pitch filtering-based estimator can be combined with the iterative adaptive approach to circumvent this limitation in joint DOA and pitch estimation of audio sources. Simulations show a clear improvement compared to when using the sample covariance matrix and the considered approach also outperforms other state-of-the-art methods. Finally, the applicability of the considered approach is verified on real data.
Titel2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014)
Antal sider5
Publikationsdatosep. 2014
ISBN (Trykt)9781479946037
StatusUdgivet - sep. 2014
Begivenhed22nd European Signal Processing Conference - Lisbon, Portugal
Varighed: 1 sep. 20145 sep. 2014


Konference22nd European Signal Processing Conference


  • direction-of-arrival
  • fundamental frequency
  • LCMV
  • iterative adaptive approach
  • high resolution


Dyk ned i forskningsemnerne om 'DOA and Pitch Estimation of Audio Sources using IAA-based Filtering'. Sammen danner de et unikt fingeraftryk.