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KMID : 0917520050120030079
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Journal of Speech Sciences
2005 Volume.12 No. 3 p.79 ~ p.89
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Adaptive Feedback Cancellation Using by Independent Component Analysis for Digital Hearing Aid
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Ji Yoon-Sang
Lee Sang-Min
Jung Sae-Young
Kim In-Young
Kim Sun-Il
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Abstract
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Acoustic feedback between microphone and receiver can be effectively cancelled adaptive feedback cancellation algorithm. Although many speech sounds have non-Gaussian distribution, most algorithms were tested with speech like sounds whose distribution were Guassian type. In this paper, we proposed an adaptive feedback cancellation algorithm based on independent component analysis (ICA) for digital hearing aid. The algorithm was tested with not only Gaussian distribution but also Laplacian distribution. We verified that the proposed algorithm has better acoustic feedback cancelling performance than conventional normalized root mean square (NLMS) algorithm, especially speech like sounds with Laplacian distribution.
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KEYWORD
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Adaptive feedback cancellation, hearing aid, ICA
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