IMPLEMENTATION OF A NOVEL TRANSFORMATION TECHNIQUE TO IMPROVE SPEECH COMPRESSION RATIO

A novel transformation technique for speech compression is proposed to improve the compression ratio without loss of intelligibility of speech. This technique is a combination of analysis-synthesis and sub-band coding technique. The proposed technique is compared with conventional techniques like Linear Predictive Coding (LPC) and Discrete Wavelet Transform (DWT). First, a speech encoder at lower bit rates (LPC) is used to analyze the speech signals. Levinson Durbin Algorithm is used to reproduce the important characteristics of the input speech in LPC analysis. Later, DWT is used to analyze the speech signal. The comparative analysis was done for the proposed, conventional and transformation techniques in terms of qualitative speech parameters like Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR).