Speech Analysis Technique for Speech Compression

Vol.6 No.1

Year: 2011

Issue: July-September

Title: Speech Analysis Technique for Speech Compression   

Author Name: Hind R. Mohammed, Iman Qays Abduljaleel   

Synopsis:   

This paper presents a comparison between the important transforms using 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. We find 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 compressed-decompressed signal against the original.