Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction
(2007) 15th International Conference on Digital Signal Processing. p.603-606- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/448794f0-ef2c-4bfd-9d02-f055b2084f00
- author
- Sällberg, Benny ; Grbic, Nedelko LU and Claesson, Ingvar LU
- publishing date
- 2007-07
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IEEE 15th International Conference on Digital Signal Processing
- pages
- 4 pages
- conference name
- 15th International Conference on Digital Signal Processing.
- conference location
- Cardiff, Wales, United Kingdom
- conference dates
- 2007-07-01 - 2007-07-04
- external identifiers
-
- scopus:47649133059
- ISBN
- 1-4244-0882-2
- 1-4244-0881-4
- DOI
- 10.1109/ICDSP.2007.4288654
- language
- English
- LU publication?
- no
- id
- 448794f0-ef2c-4bfd-9d02-f055b2084f00
- date added to LUP
- 2016-06-23 16:45:51
- date last changed
- 2024-01-04 08:57:29
@inproceedings{448794f0-ef2c-4bfd-9d02-f055b2084f00, abstract = {{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.}}, author = {{Sällberg, Benny and Grbic, Nedelko and Claesson, Ingvar}}, booktitle = {{IEEE 15th International Conference on Digital Signal Processing}}, isbn = {{1-4244-0882-2}}, language = {{eng}}, pages = {{603--606}}, title = {{Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction}}, url = {{http://dx.doi.org/10.1109/ICDSP.2007.4288654}}, doi = {{10.1109/ICDSP.2007.4288654}}, year = {{2007}}, }