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

Benny Sällberg; Nedelko Grbic; Ingvar Claesson

doi:10.1109/ICDSP.2007.4288654

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

Benny Sällberg, Nedelko Grbic, Ingvar Claesson

Blekinge Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	IEEE 15th International Conference on Digital Signal Processing
Place of Publication	Cardiff, Wales
Pages	603-606
Number of pages	4
ISBN (Electronic)	1-4244-0882-2
DOIs	https://doi.org/10.1109/ICDSP.2007.4288654
Publication status	Published - 2007 Jul
Externally published	Yes
Event	15th International Conference on Digital Signal Processing. - Cardiff, Wales, United Kingdom Duration: 2007 Jul 1 → 2007 Jul 4

Conference

Conference	15th International Conference on Digital Signal Processing.
Country/Territory	United Kingdom
City	Cardiff, Wales
Period	2007/07/01 → 2007/07/04

Subject classification (UKÄ)

Signal Processing

Access to Document

10.1109/ICDSP.2007.4288654

Cite this

@inproceedings{448794f0ef2c4bfd9d02f055b2084f00,

title = "Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction",

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 = "Benny S{\"a}llberg and Nedelko Grbic and Ingvar Claesson",

year = "2007",

month = jul,

doi = "10.1109/ICDSP.2007.4288654",

language = "English",

isbn = "1-4244-0881-4",

pages = "603--606",

booktitle = "IEEE 15th International Conference on Digital Signal Processing",

note = "15th International Conference on Digital Signal Processing. ; Conference date: 01-07-2007 Through 04-07-2007",

}

Sällberg, B, Grbic, N & Claesson, I 2007, Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction. in IEEE 15th International Conference on Digital Signal Processing. Cardiff, Wales, pp. 603-606, 15th International Conference on Digital Signal Processing., Cardiff, Wales, United Kingdom, 2007/07/01. https://doi.org/10.1109/ICDSP.2007.4288654

TY - GEN

T1 - Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction

AU - Sällberg, Benny

AU - Grbic, Nedelko

AU - Claesson, Ingvar

PY - 2007/7

Y1 - 2007/7

N2 - 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.

AB - 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.

U2 - 10.1109/ICDSP.2007.4288654

DO - 10.1109/ICDSP.2007.4288654

M3 - Paper in conference proceeding

SN - 1-4244-0881-4

SP - 603

EP - 606

BT - IEEE 15th International Conference on Digital Signal Processing

CY - Cardiff, Wales

T2 - 15th International Conference on Digital Signal Processing.

Y2 - 1 July 2007 through 4 July 2007

ER -

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

Abstract

Conference

Subject classification (UKÄ)

Access to Document

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Cite this