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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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2003
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| 主題: | |
| 在線閱讀: | http://psasir.upm.edu.my/id/eprint/12219/1/FK_2003_57.pdf |
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| 總結: | 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. |
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