The effect method for speech compression by wavelet transform

Abstract EN

This paper presents new algorithm for speech signals compression using wavelet transform technique with scalar quantization methods and Huffman coding.

The performance of the implemented algorithm is evaluated based on Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR).

Normalized Root Mean Square Error (NRMSE) and compression ratio and tested on 8 kHz 8-bit speech signals.

In this paper a Wavelet, based speech coder is implemented in software using Matlab.

The major issues concerning the design of this wavelet based speech coder are choosing optimal wavelets for speech signals, decomposition level in the Discrete Wavelet Transform (DWT) and threshold criteria for coefficient truncation and efficient encoding.

The performances of the wavelet compression scheme on both male and female spoken sentences were compared.