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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2003
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my-upm-ir.122192024-07-09T07:44:17Z 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.pdf text en public masters Universiti Putra Malaysia Wavelets (Mathematics) Compression Faculty of Engineering Ramli, Abdul Rahman English |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English English |
| advisor |
Ramli, Abdul Rahman |
| 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.pdf |
| _version_ |
1804888700167913472 |