Title :
A Hybrid Descent Method for Optimal Sigmoid Filter Design
Author :
Kit Yan Chan ; Nordholm, Sven Erik ; Siow Yong Low ; Pei Chee Yong ; Yiu, Ka Fai Cedric
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
Abstract :
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.
Keywords :
filtering theory; speech enhancement; SNR conditions; hybrid descent method; optimal sigmoid filter design; speech enhancement; speech qualities; Noise measurement; Optimized production technology; Signal to noise ratio; Speech; Speech enhancement; Wiener filters; Hybrid optimization method; noise suppression; sigmoid function; speech enhancement; various SNR conditions;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2303498
