BibTeX:

@article{IJIRSTV1I3006,
     title={Noise Reduction from the speech signal using WP coefficients and Modified Thresholding},
     author={Krunal S. Panchal},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={3},
     pages={1--9},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I3006.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Performance of the thresholding based speech enhancement methods largely depend on the estimate of the exact threshold value as well as on the choice of the thresholding function. A speech enhancement method is presented, in which a custom thresholding function is used and employed upon the Wavelet Packet (WP) coefficients of the noisy speech. The thresholding function is capable of switching between modified hard, soft and supersoft thresholding functions depending on a parameter that decides the signal characteristics under consideration. The threshold is determined based on the statistical modeling of the Teager energy operated WP coefficients of the noisy speech. This custom thresholding function is very effective in reduction of the white noise from the noisy speech thus resulting in an enhanced speech with better quality and intelligibility.

Noise Reduction, Wavelet coefficients, Thresholding function, Speech Enhancement