JSE_V6_N1_RP3 Hind Rostom Mohammed Iman Qays Abduljaleel Journal on Software Engineering 2230 – 7168 6 1 21 27 Speech, Compression, Wavelet, Fast Fourier, DWT, WPT, Threshold This paper presents a comparison between the important transforms used in speech signal such as ( Fast Fourier Transform, Discrete Wavelet Transform, Wavelet Packet Transform and Discrete Wavelet-Fast Fourier Transform) and try to compression the coefficients that received from any transforms by using zero's coder before using arithmetic coding algorithm to compress speech signal. It was found that the DWT and WPT are the best transform in the speech signal analysis and using the zero's coder increase the compression ratio and using DWT-FFT transform make the compression bad because the coefficients received after using FFT transform are different and make the symbols that entry to arithmetic coding more. Analysis of the compression process was performed by comparing the compresseddecompressed signal against the original. July - September 2011 Copyright © 2011 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=1535