Speech Compression Using Discrete Wavelet Transform

Speech compression is an area of digital processing that is focusing on reducing bit rate of the speech signal for transmission or storage without significant loss of quality. Wavelet transform has been recently proposed for signal analysis. Speech signal compression using wavelet transform is gi...

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Main Author: M.Ali Najih, Abdulmawla
Format: Thesis
Language:English
English
Published: 2003
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/12219/1/FK_2003_57_A.pdf
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id my-upm-ir.12219
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spelling my-upm-ir.122192011-09-12T00:57:02Z Speech Compression Using Discrete Wavelet Transform 2003-08 M.Ali Najih, Abdulmawla Speech compression is an area of digital processing that is focusing on reducing bit rate of the speech signal for transmission or storage without significant loss of quality. Wavelet transform has been recently proposed for signal analysis. Speech signal compression using wavelet transform is given a considerable attention in this thesis. Speech coding is a lossy scheme and is implemented here to compress onedimensional speech signal. Basically, this scheme consists of four operations which are the transform, threshold techniques (by level and global threshold), quantization, and entropy encoding operations. The reconstruction of the compressed signal as well as the detailed steps needed are discussed.The performance of wavelet compression is compared against linear Productive Coding and Global System for Mobile Communication (GSM) algorithms using SNR, PSNR, NRMSE and compression ratio. Software simulating the lossy compression scheme is developed using Matlab 6. This software provides the basic speech analysis as well as the compression and decompression operations. The results obtained show reasonably high compression ratio and good signal quality. Wavelets (Mathematics) Compression 2003-08 Thesis http://psasir.upm.edu.my/id/eprint/12219/ http://psasir.upm.edu.my/id/eprint/12219/1/FK_2003_57_A.pdf application/pdf en public masters Universiti Putra Malaysia Wavelets (Mathematics) Compression Faculty of Engineering English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Wavelets (Mathematics)
Compression

spellingShingle Wavelets (Mathematics)
Compression

M.Ali Najih, Abdulmawla
Speech Compression Using Discrete Wavelet Transform
description Speech compression is an area of digital processing that is focusing on reducing bit rate of the speech signal for transmission or storage without significant loss of quality. Wavelet transform has been recently proposed for signal analysis. Speech signal compression using wavelet transform is given a considerable attention in this thesis. Speech coding is a lossy scheme and is implemented here to compress onedimensional speech signal. Basically, this scheme consists of four operations which are the transform, threshold techniques (by level and global threshold), quantization, and entropy encoding operations. The reconstruction of the compressed signal as well as the detailed steps needed are discussed.The performance of wavelet compression is compared against linear Productive Coding and Global System for Mobile Communication (GSM) algorithms using SNR, PSNR, NRMSE and compression ratio. Software simulating the lossy compression scheme is developed using Matlab 6. This software provides the basic speech analysis as well as the compression and decompression operations. The results obtained show reasonably high compression ratio and good signal quality.
format Thesis
qualification_level Master's degree
author M.Ali Najih, Abdulmawla
author_facet M.Ali Najih, Abdulmawla
author_sort M.Ali Najih, Abdulmawla
title Speech Compression Using Discrete Wavelet Transform
title_short Speech Compression Using Discrete Wavelet Transform
title_full Speech Compression Using Discrete Wavelet Transform
title_fullStr Speech Compression Using Discrete Wavelet Transform
title_full_unstemmed Speech Compression Using Discrete Wavelet Transform
title_sort speech compression using discrete wavelet transform
granting_institution Universiti Putra Malaysia
granting_department Faculty of Engineering
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/12219/1/FK_2003_57_A.pdf
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