Title: Adaptive feedback cancellation in hearing aids with linear prediction of the desired signal
Authors: Spriet, Ann ×
Proudler, I
Moonen, Marc
Wouters, Jan #
Issue Date: Oct-2005
Publisher: Institute of Electrical and Electronics Engineers
Series Title: IEEE Transactions on Signal Processing vol:53 issue:10 pages:3749-3763
Abstract: The standard continuous adaptation feedback cancellation algorithm for feedback suppression in hearing aids suffers from a large model error or bias if the received sound signal is spectrally colored. To reduce the bias in the feedback path estimate, we propose adaptive feedback cancellation techniques that are based on a closed-loop identification of the feedback path as well as the (auto-regressive) modeling of the desired signal. In general, both models are not simultaneously identifiable in the closed-loop system at hand. We show that-under certain conditions, e.g., if a delay is inserted in the forward path-identification of both models is indeed possible. Two classes of adaptive procedures for identifying the desired signal model and the feedback path are derived: a two-channel identification method as well as a prediction error method. In contrast to, the two-channel identification method, the prediction error method allows use of different adaptation schemes for the feedback path and for the desired signal model and, hence, is found to be preferable for highly nonstationary sound signals. Simulation results demonstrate that the proposed techniques outperform the standard continuous adaptation algorithm if the conditions for identifiability are satisfied.
ISSN: 1053-587X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Research Group Experimental Oto-rhino-laryngology
× corresponding author
# (joint) last author

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