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Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction

In English

Författare

  • Benny Sällberg
  • Nedelko Grbic
  • Ingvar Claesson

Summary, in English

This paper presents a method for blind beamforming with application in realtime speech extraction in a non-stationary environment. The blind beamforming is carried out using an online kurtosis maximization approach where the optimization is based on Newton's method. The main novelty of the paper lies in the formulation of the subband kurtosis approximation, where a locally quadratic criterion is solved at each iteration. Further, a real-time digital signal processor (DSP) implementation of the method is conducted and results with real data is presented.

Publiceringsår

2007-07

Språk

Engelska

Sidor

603-606

Publikation/Tidskrift/Serie

IEEE 15th International Conference on Digital Signal Processing

Dokumenttyp

Konferensbidrag

Ämne

  • Signal Processing

Conference name

15th International Conference on Digital Signal Processing.

Conference date

2007-07-01 - 2007-07-04

Conference place

Cardiff, Wales, United Kingdom

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 1-4244-0882-2
  • ISBN: 1-4244-0881-4