A Hybrid Descent Method for Optimal Sigmoid Filter Design

In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant...

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Bibliographic Details
Published in:IEEE signal processing letters 2014-04, Vol.21 (4), p.478-482
Main Authors: Kit Yan Chan, Nordholm, Sven, Siow Yong Low, Pei Chee Yong, Yiu, Ka Fai Cedric
Format: Article
Language:English
Subjects:
Descent
Hybrid optimization method
Noise measurement
noise suppression
Optimization
Optimized production technology
sigmoid function
Signal processing
Signal to noise ratio
Speech
Speech enhancement
various SNR conditions
Wiener filters
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Summary:In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant improvement in terms of better speech qualities can be achieved by the proposed sigmoid filter when working under various SNR conditions.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2014.2303498