Paper data
Title:
Theoretical analysis of adaptive noise reduction algorithms for hearing aids Author(s): Maj Jean Baptiste, ESAT-SISTA / Lab Exp ORL KULeuven Moonen Marc, ESAT-SISTA KULeuven Wouters Jan, Lab Exp ORL KULeuven Page numbers in the proceedings: Volume I pp 511-514 Session: Echo Cancellation and Speech Enhancement
Paper abstract
This paper presents the theoretical analysis of 2 different adaptive noise reduction algorithms for twin-microphone hearing aids. A first noise reduction algorithm is based on a beamformer technique and a second is based on optimal filtering and singular value decomposition (SVD). On the one hand, it is shown that the SVD-based technique gives a robust solution against unmatched microphone characteristics. On the other hand, the beamformer technique has a better robustness against voice activity detector (VAD) errors.
Paper
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