Digital Signal Processing

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Speech Compression Using Wavelet Packet Best Tree Encoding (BTE)


Affiliations
1 Electrical Engineering Department, Fayoum University, Egypt
2 Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt
     

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Speech compression is one area of digital signal processing that focusing on reducing the bit rate of the speech signal for transmission or storage without significant loss of quality. This paper presents a new design feature for speech Compression using Wavelet Packet Transform and Linear prediction Coding. The proposed algorithm uses best tree decomposition of wavelet packets, which develop features afterward compressed signal is compressed by Linear prediction Coding. The 4 points encoded vector is a full of information just like the original best tree’s structure. The implied scoring system makes BTE suitable for compression problems and we reach at 12 compression ratio. The performance of speech signal is measure on the basis of signal to noise ratio (SNR), mean square error (MSE) and peak signal to noise ratio (PSNR).

Keywords

Speech Compression, Wavelet Packet Transform, BTE, LPC.
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  • Speech Compression Using Wavelet Packet Best Tree Encoding (BTE)

Abstract Views: 207  |  PDF Views: 3

Authors

Amr M. Gody
Electrical Engineering Department, Fayoum University, Egypt
Safey A. Abdelwahab
Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt
Tamer M. Barakat
Electrical Engineering Department, Fayoum University, Egypt
Mohamed Y. Mohamed
Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt

Abstract


Speech compression is one area of digital signal processing that focusing on reducing the bit rate of the speech signal for transmission or storage without significant loss of quality. This paper presents a new design feature for speech Compression using Wavelet Packet Transform and Linear prediction Coding. The proposed algorithm uses best tree decomposition of wavelet packets, which develop features afterward compressed signal is compressed by Linear prediction Coding. The 4 points encoded vector is a full of information just like the original best tree’s structure. The implied scoring system makes BTE suitable for compression problems and we reach at 12 compression ratio. The performance of speech signal is measure on the basis of signal to noise ratio (SNR), mean square error (MSE) and peak signal to noise ratio (PSNR).

Keywords


Speech Compression, Wavelet Packet Transform, BTE, LPC.