Online Maximization of Subband Kurtosis for Blind Adaptive Beamforming in Realtime Speech Extraction
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing2007 (English)Conference paper (Refereed) Published
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.
Place, publisher, year, edition, pages
Cardiff, UK, 2007.
Blind Speech Extraction, Adaptive Beamforming, Kurtosis Maximization.
IdentifiersURN: urn:nbn:se:bth-9272ISI: 000249666900152Local ID: oai:bth.se:forskinfo82FB3B04541BBE46C12572C000558D52OAI: oai:DiVA.org:bth-9272DiVA: diva2:837056
IEEE 15th International Conference on Digital Signal Processing