Proportionate NLMS for adaptive feedback control in hearing aids

© 2017 IEEE. The proportionate normalized least-mean-squares (PNLMS) algorithm is commonly used in acoustic echo cancellation (AEC) context. It provides faster initial convergence and tracking rates compared to the NLMS algorithm for the case of sparse echo impulse responses. The improved PNLMS algo...

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Main Authors: Tran, L., Schepker, H., Doclo, S., Dam, Hai Huyen Heidi, Nordholm, Sven
Format: Conference Paper
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/55647
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author Tran, L.
Schepker, H.
Doclo, S.
Dam, Hai Huyen Heidi
Nordholm, Sven
author_facet Tran, L.
Schepker, H.
Doclo, S.
Dam, Hai Huyen Heidi
Nordholm, Sven
author_sort Tran, L.
building Curtin Institutional Repository
collection Online Access
description © 2017 IEEE. The proportionate normalized least-mean-squares (PNLMS) algorithm is commonly used in acoustic echo cancellation (AEC) context. It provides faster initial convergence and tracking rates compared to the NLMS algorithm for the case of sparse echo impulse responses. The improved PNLMS algorithm (IPNLMS) has been proven to be more powerful than PNLMS by exploiting new rules for computing the weight of each step-size corresponding to each adaptive filter coefficient. However, the application of the PNLMS and the IPNLMS algorithms for adaptive feedback control (AFC) in hearing aids (HAs) is still limited due to high correlation between the loudspeaker and incoming signals. This paper proposes implementations of the PNLMS/IPNLMS algorithms for AFC using the prediction error method (PEM) for hearing aids. The proposed methods have been evaluated for both speech and music incoming signals. Simulation shows that the proposed methods have faster initial convergence and tracking than the PEM using the NLMS algorithm (PEM-NLMS).
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spelling curtin-20.500.11937-556472017-09-13T16:10:06Z Proportionate NLMS for adaptive feedback control in hearing aids Tran, L. Schepker, H. Doclo, S. Dam, Hai Huyen Heidi Nordholm, Sven © 2017 IEEE. The proportionate normalized least-mean-squares (PNLMS) algorithm is commonly used in acoustic echo cancellation (AEC) context. It provides faster initial convergence and tracking rates compared to the NLMS algorithm for the case of sparse echo impulse responses. The improved PNLMS algorithm (IPNLMS) has been proven to be more powerful than PNLMS by exploiting new rules for computing the weight of each step-size corresponding to each adaptive filter coefficient. However, the application of the PNLMS and the IPNLMS algorithms for adaptive feedback control (AFC) in hearing aids (HAs) is still limited due to high correlation between the loudspeaker and incoming signals. This paper proposes implementations of the PNLMS/IPNLMS algorithms for AFC using the prediction error method (PEM) for hearing aids. The proposed methods have been evaluated for both speech and music incoming signals. Simulation shows that the proposed methods have faster initial convergence and tracking than the PEM using the NLMS algorithm (PEM-NLMS). 2017 Conference Paper http://hdl.handle.net/20.500.11937/55647 10.1109/ICASSP.2017.7952148 restricted
spellingShingle Tran, L.
Schepker, H.
Doclo, S.
Dam, Hai Huyen Heidi
Nordholm, Sven
Proportionate NLMS for adaptive feedback control in hearing aids
title Proportionate NLMS for adaptive feedback control in hearing aids
title_full Proportionate NLMS for adaptive feedback control in hearing aids
title_fullStr Proportionate NLMS for adaptive feedback control in hearing aids
title_full_unstemmed Proportionate NLMS for adaptive feedback control in hearing aids
title_short Proportionate NLMS for adaptive feedback control in hearing aids
title_sort proportionate nlms for adaptive feedback control in hearing aids
url http://hdl.handle.net/20.500.11937/55647