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Rank-1 approximation based multichannel Wiener filtering algorithms for noise reduction in cochlear implants

Book Contribution - Book Chapter Conference Contribution

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. © 2013 IEEE.
Book: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pages: 8634 - 8638
Number of pages: 5
ISBN:9781479903566
Publication year:2013
BOF-keylabel:yes
IOF-keylabel:yes
Authors from:Higher Education