Abstract | ||
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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 |
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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 Chan | 1 | 470 | 45.36 |
Sven Nordholm | 2 | 405 | 62.82 |
Siow Yong Low | 3 | 92 | 11.90 |
Pei Chee Yong | 4 | 36 | 5.79 |
Ka Fai Cedric Yiu | 5 | 176 | 23.70 |