Speech Denoising Using Mixed Transform

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.

Keywords

• Speech Denoising
• Multicircularlet
• SlantletTransform
• DWT