Soft Constrained Subband Beamforming for Hands-Free Speech Enhancement
(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:
https://lup.lub.lu.se/record/a14f7586-d4f4-4703-b21f-544a4bfb03f4
- author
- Grbic, Nedelko LU and Nordholm, Sven
- organization
- publishing date
- 2002
- 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}}, }