Reduction of Noise from Speech Signal using Haar and Biorthogonal Wavelet
Parvinder Singh, Dinesh Kumar Singh, Deepak Sethi · 2011
Clear speech sometimes will be polluted by noise. Reduction of noise aims at reducing noise from noisy speech signal and extracting the clean speech. As speech is transmitted and received using various media it introduces distortions and have bandwidth constraints. These degradations lower intelligibility of speech message causing severe problems in downstream processing and user perception of speech signal. There has been a lot of research in speech denoising so far but there always remains room for improvement. The motivation to use wavelet as a possible alternative is to explore new ways to reduce computational complexity and to achieve better noise reduction performance. Wavelet denoising technique is simple and efficient. In this paper wavelet is used as denoising algorithm. Performance of haar and biorthogonal wavelets are experimentally evaluated.