Speech Denoising Using Mixed Transform

  • Sadiq J. Abou-loukh Electrical Engineering Department, University of Baghdad
  • Ali K. Ibrahim Electrical Engineering Department, University of Baghdad
Keywords: Speech Denoising, Multicircularlet, SlantletTransform, DWT

Abstract

This paper presents a mixed transform
based speech denoising technique obtained by the
combination of multicircularlet and slantlet
transforms and thresholding algorithm. It is well
known that denoising is a compromise between the
removal of the largest possible amount of noise and
the preservation of signal integrity. Mixed
transform is an intelligent tool for solving speech
processing problems such as speech denoising , the
general algorithm of speech denoising using
discrete wavelet transform (DWT) is presented,
followed by the proposed general algorithm of
speech denoising using mixed transform. This
paper also discusses the effect of using DWT and
mixed transform in speech denoising,
theirperformances in terms of mean square error
(MSE) and peak signal to noise ratio (PSNR) are
assessed. Computer simulation results indicate that
the mixed transform offers better MSE and PSNR
than DWT.

Published
2017-06-08
How to Cite
Abou-loukh, S., & Ibrahim, A. (2017). Speech Denoising Using Mixed Transform. Al-Nahrain Journal for Engineering Sciences, 16(1), 1 - 8. Retrieved from https://nahje.com/index.php/main/article/view/232