Wavelet transform for speech compression and denoising

被引：0

作者：

Chelali, Fatma Zohra ^{[1
]}

Cherabit, Noureddine ^{[1
]}

Djeradi, Amar ^{[1
]}

Falek, Leila ^{[1
]}

机构：

[1] Univ Sci & Technol Houari Boumediene Algiers, Fac Elect & Comp Sci, Speech Commun & Signal Proc Lab, Box 32 El Alia, Algiers 16111, Algeria

来源：

PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2018年

关键词：

component; DCT; DWT; PSNR; MSE; AWGN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We are interested in this paper in speech compression using Discrete Cosine Transformation DCT and the discrete wavelet transform WT, then speech denoising using packet wavelet is discussed. The efficiency of the packet wavelets is presented to reduce the effect of noise in an acoustic signal. Several audio compression standards exist; these standards are established to develop tools to compress an audio signal while respecting the standards. Peak Signal to Noise Ratio (PSNR) and mean square error are used to evaluate the quality of the acoustic compression. Good results are obtained with Wavelet transform compared to DCT.

引用

页码：361 / 367

页数：7

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