Speech Signal Compression Using Wavelet And Linear Predictive Coding

A new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet decomposition (Haar and db4) at a suitable chosen le...

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Main Authors: Dr. Tarik Zeyad, Ahlam Hanoon
Format: Article
Language:English
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2017-12-01
Series:Al-Khawarizmi Engineering Journal
Subjects:
Online Access:http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/21
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author Dr. Tarik Zeyad
Ahlam Hanoon
author_facet Dr. Tarik Zeyad
Ahlam Hanoon
author_sort Dr. Tarik Zeyad
collection DOAJ
description A new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet decomposition (Haar and db4) at a suitable chosen level and ignored details coefficients, and then approximation coefficients are windowed by a rectangular window and fed to the linear predictor. Levinson Durbin algorithm is used to compute LP coefficients, reflection coefficients and predictor error. The compress files contain LP coefficients and previous sample. These files are very small in size compared to the size of the original signals. Compression ratio is calculated from the size of the compressed signal relative to the size of the uncompressed signal. The proposed algorithms where fulfilled with the use of Matlab package
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spelling doaj.art-7aa6da0281d045edaf4160af30395a742022-12-21T23:08:33ZengAl-Khwarizmi College of Engineering – University of BaghdadAl-Khawarizmi Engineering Journal1818-11712312-07892017-12-0111Speech Signal Compression Using Wavelet And Linear Predictive CodingDr. Tarik Zeyad0Ahlam Hanoon1Electrical Engineering Dept. / College of Engineering / University of BaghdadElectrical Engineering Dept. / College of Engineering / University of BaghdadA new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet decomposition (Haar and db4) at a suitable chosen level and ignored details coefficients, and then approximation coefficients are windowed by a rectangular window and fed to the linear predictor. Levinson Durbin algorithm is used to compute LP coefficients, reflection coefficients and predictor error. The compress files contain LP coefficients and previous sample. These files are very small in size compared to the size of the original signals. Compression ratio is calculated from the size of the compressed signal relative to the size of the uncompressed signal. The proposed algorithms where fulfilled with the use of Matlab packagehttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/21Keyword: Wavelet, Speech Coding, Linear Predictive Coding, Levinson Durbin.
spellingShingle Dr. Tarik Zeyad
Ahlam Hanoon
Speech Signal Compression Using Wavelet And Linear Predictive Coding
Al-Khawarizmi Engineering Journal
Keyword: Wavelet, Speech Coding, Linear Predictive Coding, Levinson Durbin.
title Speech Signal Compression Using Wavelet And Linear Predictive Coding
title_full Speech Signal Compression Using Wavelet And Linear Predictive Coding
title_fullStr Speech Signal Compression Using Wavelet And Linear Predictive Coding
title_full_unstemmed Speech Signal Compression Using Wavelet And Linear Predictive Coding
title_short Speech Signal Compression Using Wavelet And Linear Predictive Coding
title_sort speech signal compression using wavelet and linear predictive coding
topic Keyword: Wavelet, Speech Coding, Linear Predictive Coding, Levinson Durbin.
url http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/21
work_keys_str_mv AT drtarikzeyad speechsignalcompressionusingwaveletandlinearpredictivecoding
AT ahlamhanoon speechsignalcompressionusingwaveletandlinearpredictivecoding