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PhD Thesis(Eurasip PhD Library)

Rank-1 Approximation Based Multichannel Wiener Filtering Algorithms For Noise Reduction In Cochlear Implants



Authors: Romain Serizel, Marc Moonen, Bas Van Dijk, Jan Wouters

Reference: in Proc. of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013

Status: Published (International conference)

Internal Report: 13-38

Abstract:
This paper presents multichannel Wiener filtering-based algorithms for noise reduction in cochlear implants. In a single speech scenario, the autocorrelation matrix of the speech signal can be approximated by a rank-1 matrix. It is then possible to derive noise reduction filters that deliver improved signal-to-noise ratio performance. The link between these different filters is investigated here and an eigenvalue decomposition based algorithm is demonstrated to be more stable at low input signal-to-noise ratio compared to previous algorithms.

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