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http://dx.doi.org/10.17661/jkiiect.2018.11.5.538

Subband Sparse Adaptive Filter for Echo Cancellation in Digital Hearing Aid Vent  

Bae, Hyeonl-Deok (School of Electrical Eng., Chungbuk National University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.5, 2018 , pp. 538-542 More about this Journal
Abstract
Echo generated in digital hearing aid vent give rise to user's discomfort. For cancelling feedback echo in vent, it is required to estimate vent impulse response exactly. The vent impulse response has time varying and sparse characteristics. The IPNLMS has been known a useful adaptive algorithm to estimate vent impulse response with these characteristics. In this paper, subband sparse adaptive filter which applying IPNLMS to subband hearing aid structure is proposed to cancel echo of vent by estimating sparse vent impulse response. In the propose method, the decomposition of input signal to subband can pre-whiten each subband signal, so adaptive filter convergence speed can be improved. And the poly phase component decomposition of adaptive filter increases sparsity of each components, and the better echo cancellation can be possible without additional computation. To derive coefficients update equation of the adaptive filter, by defining the cost function based weight NLMS is defined, and the coefficient update equation of each subband is derived. For verifying performances of the adaptive filter, convergence speed, and steady state error by white signal input, and echo cancelling results by real speech input are evaluated by comparing conventional adaptive filters.
Keywords
DHA; Vent; Echo cancellation; Sparse impulse response; Adaptive filter; Subband filtering;
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Times Cited By KSCI : 1  (Citation Analysis)
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