Comparative Analysis between DWT and WPD Techniques of Speech Compression
Preet Kaur · IOSR Journal of Engineering · 2012
Speech compression is the process of converting speech signal into more compactable form for communication and storage without losing intelligibility of the original signal. Storage and archival of large volume of spoken information makes speech compression essential and which improves the capacity of communications relatively of unlimited bandwidth. Discrete Wavelet Transform (DWT) and Wavelet Packet Decomposition (WPD) are the recent technique used to materialize the compression. In this paper, both the techniques are exploited, and a comparative study of performance of both is made in terms of Signal-to-noise ratio (SNR) , Peak signal-to-noise ratio (PSNR) ,Normalized root-mean square error (NRMSE) and Retained signal energy (RSE) is presented.