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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 In Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on 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.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
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
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
2016-10-13 05:10:47
@misc{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},
  isbn         = {0-7803-7402-9},
  language     = {eng},
  pages        = {885--888},
  series       = {Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on},
  title        = {Soft Constrained Subband Beamforming for Hands-Free Speech Enhancement},
  url          = {http://dx.doi.org/10.1109/ICASSP.2002.5743881},
  volume       = {1},
  year         = {2002},
}