A Calibrated Subband Beamforming Algorithm for Speech Enhancement

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Zohra Yermeche, Pilar Márquez Garcia, Nedelko Grbic, Ingvar Claesson
Title: A Calibrated Subband Beamforming Algorithm for Speech Enhancement
Conference name: Second IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2002)
Year: 2002
Pagination: 485-9
ISBN: 0-7803-7551-3
Publisher: IEEE
City: Washington DC
Organization: Blekinge Institute of Technology
Department: Department of Telecommunications and Signal Processing (Institutionen för telekommunikation och signalbehandling)
Department of Telecommunications and Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Authors e-mail: zye@bth.se, pmg@bth.se, ngr@bth.se, icl@bth.se
Language: English
Abstract: This paper proposes a new calibrated adaptive frequency domain beamformer for speech enhancement. The beamformer
is based on the principle of a soft constraint formed from calibration data, rather than precalculated from free-field assumptions. The benefit is that the real room acoustical properties will be taken into account. The proposed algorithm continuously estimates the spatial information for each frequency band, based on weighting of the received data. The update of the beamforming weights is done recursively where the initial precalculated correlation estimates of the speech constitute a soft constraint. The soft constraint secures the spatial-temporal passage of the desired source signal, without the need of any speech detection. The performance is evaluated in real world scenarios, both in a car-and a restaurant- environment. Interference and noise sup-pression of more than 15 dB is accomplished, while very small distortion is measured for the source signal.
Subject: Signal Processing\Beamforming
Signal Processing\Speech Enhancement
Keywords: Calibrated array, Beamforming, Soft constraint, adaptive