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.
Original language | English |
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Article number | 6728670 |
Pages (from-to) | 478-482 |
Number of pages | 5 |
Journal | IEEE Signal Processing Letters |
Volume | 21 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2014 |
Keywords
- Hybrid optimization method
- noise suppression
- sigmoid function
- speech enhancement
- various SNR conditions
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Applied Mathematics