A new speech compression model using discrete wavelet transforms

Abstract EN

The purpose of this research is to design and implement a new Discrete Wavelet Transform (DWT) encoder/decoder for speech compression.

Three compression procedures are suggested these are, Wavelet Analysis-Synthesis, Wavelet Global Threshold and Wavelet By-Level Threshold.

The major issues concerning the design of this Wavelet based speech coder are proposed mother wavelet for speech signal, decomposition level in DWT, threshold criteria for coefficient truncation and efficient encoding of truncated coefficients.

Performances of these three procedures are compared and the encoded methods are evaluated based on compression ratio and signal to noise ratio factors.