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Soft Constrained Subband Beamforming for Hands-Free Speech Enhancement

Grbic, Nedelko LU and Nordholm, Sven (2002) IEEE International Conference on Acoustics, Speech and Signal Processing, 2002 1. p.885-888
Abstract
This paper introduces a new constrained adaptive subband beamformer algorithm for speech enhancement in acoustic telecommunication systems. The solution relies on a pre-calculated source covariance matrix and recursive estimates of background noise- and handsfree signal covariance matrices. The constraint acts as an eye-opening in a vicinity of the near-field location of the source and degradations from steering-vector errors can therefor be made small. The algorithm is applied in subbands using a uniform multi channel over-sampled filterbank. Simulations with real speech recorded in an automobile hands-free environment show 19 dB noise reduction and 20 dB hands-free suppression.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
volume
1
pages
4 pages
conference name
IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
conference location
Orlando, FL, United States
conference dates
2002-05-13 - 2002-05-17
external identifiers
  • scopus:0036296966
ISBN
0-7803-7402-9
DOI
10.1109/ICASSP.2002.5743881
language
English
LU publication?
yes
id
a14f7586-d4f4-4703-b21f-544a4bfb03f4
date added to LUP
2016-06-23 15:19:15
date last changed
2022-01-30 04:42:35
@inproceedings{a14f7586-d4f4-4703-b21f-544a4bfb03f4,
  abstract     = {{This paper introduces a new constrained adaptive subband beamformer algorithm for speech enhancement in acoustic telecommunication systems. The solution relies on a pre-calculated source covariance matrix and recursive estimates of background noise- and handsfree signal covariance matrices. The constraint acts as an eye-opening in a vicinity of the near-field location of the source and degradations from steering-vector errors can therefor be made small. The algorithm is applied in subbands using a uniform multi channel over-sampled filterbank. Simulations with real speech recorded in an automobile hands-free environment show 19 dB noise reduction and 20 dB hands-free suppression.}},
  author       = {{Grbic, Nedelko and Nordholm, Sven}},
  booktitle    = {{Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on}},
  isbn         = {{0-7803-7402-9}},
  language     = {{eng}},
  pages        = {{885--888}},
  title        = {{Soft Constrained Subband Beamforming for Hands-Free Speech Enhancement}},
  url          = {{http://dx.doi.org/10.1109/ICASSP.2002.5743881}},
  doi          = {{10.1109/ICASSP.2002.5743881}},
  volume       = {{1}},
  year         = {{2002}},
}