Paper data
Title:
Feedback Cancellation in Hearing Aids: an unbiased modelling Approach Author(s): Spriet Ann, Katholieke Universiteit Leuven - ESAT Moonen Marc, Katholieke Universiteit Leuven - ESAT Proudler Ian, QinetiQ Ltd., Malvern Technology Centre Page numbers in the proceedings: Volume I pp 531-534 Session: Echo Cancellation and Speech Enhancement
Paper abstract
In this paper, we present an unbiased adaptive modelling approach to feedback cancellation in hearing aids.The approach is based on a closed loop identification of the feedback path as well as the (linear prediction) model of the near-end input 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.Simulation results demonstrate that -under these conditions- the unbiased modelling approach outperforms the biased continuous adaptation algorithm.
Paper
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