This paper presents an investigation of utilization of wavelet filters via multistage convolution by Reverse Biorthogonal Wavelets (RBW) in high and low pass bands speech signal parts of frequencies. In other words, speech signal is decomposed into two pass bands of frequency; high and low, and then the noise is removed in each band individually in different stages via wavelet filters. This approach provides better outcomes because it doesn’t cut the speech information such conventional thresholding. The presented method is tested by different objective measures via different noise probability distribution functions. Subjective evaluation is also used. The method shows superiority over Donoho and Johnstone thresholding method and Birge-Massart thresholding strategy method.
Track
CCAT: Communications and Computer Applications and Technologies
Conference
3rd Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2009)
Congress
2009 Global Congress on Communications, Computers and Applications (GC-CCA 2009), 26-28 October 2009, Amman, Jordan
Pages
38-47
Topics
Digital Signal Processing Digital Speech Processing
ISSN
2227-331X
DOI
BibTeX
@inproceedings{387CCA2009,
title={The investigation of wavelet filters speech enhancement method},
author={Khaled Daqrouq},
booktitle={2009 Global Congress on Communications, Computers and Applications (GC-CCA 2009)},
year={2009},
pages={38-47},
doi={}},
organization={Mosharaka for Research and Studies}
}
