Title
A Hybrid Descent Method for Optimal Sigmoid Filter Design
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.
Year
DOI
Venue
2014
10.1109/LSP.2014.2303498
IEEE Signal Process. Lett.
Keywords
Field
DocType
noise suppression,sigmoid function,various snr conditions,hybrid optimization method,hybrid descent method,optimal sigmoid filter design,snr conditions,speech qualities,filtering theory,speech enhancement,noise measurement,speech,signal to noise ratio
Speech enhancement,Noise suppression,Computer science,Speech recognition,Filtering theory,Filter design,Sigmoid function
Journal
Volume
Issue
ISSN
21
4
1070-9908
Citations 
PageRank 
References 
1
0.36
7
Authors
5
Name
Order
Citations
PageRank
Kit Yan Chan147045.36
Sven Nordholm240562.82
Siow Yong Low39211.90
Pei Chee Yong4365.79
Ka Fai Cedric Yiu517623.70