Improved practical variable step-size algorithm for adaptive feedback control in hearing aids
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© 2016 IEEE.Variable step-size (VSS) schemes are popular to use in acoustic echo cancellation (AEC) contexts. However, their effective implementation in adaptive feedback cancellation (AFC) for hearing aids is still challenging due to the correlation between microphone and loudspeaker signals. We propose an improved practical VSS algorithm (IPVSS) which uses a variable step-size with upper and lower limits to control the update equation of an adaptive filter. The proposed algorithm is implemented for feedback cancellation using the prediction error method. As a result, the overall system has a fast convergence rate, a high tracking rate and a low steady-state error. The performance of the proposed approach has been evaluated for both speech and music incoming signals. The simulation results show that the proposed approach outperforms a system which only utilizes either the lower or the upper fixed step-size used in the IPVSS.
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Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filtersTran, L.; Schepker, H.; Doclo, S.; Dam, Hai Huyen Heidi; Nordholm, Sven (2018)© 2018 IEEE. In adaptive feedback cancellation (AFC) methods, the step-size plays an important role in controlling the convergence speed of an adaptive filter in the feedback canceller path. The selection of this step-size ...
Schepker, H.; Tran, Linh T.T.; Nordholm, Sven; Doclo, S. (2016)In adaptive feedback cancellation an adaptive filter is used to model the acoustic feedback path between the hearing aid loudspeaker and the microphone. An important parameter for adaptive filters is the step-size, providing ...
Adaptive feedback control using improved variable step-size affine projection algorithm for hearing aidsTran, L.; Schepker, H.; Doclo, S.; Dam, Hai Huyen Heidi; Nordholm, Sven (2018)© 2017 IEEE. The affine projection algorithm (APA) is commonly used for adaptive filtering in acoustic echo cancellation (AEC) due to its higher convergence and tracking rate compared to the conventional normalized least ...