Voice Signal Compression and Spectrum Analysis (VSCSA): Suitable For Pervasive Computing and Limited Storage Devices Using MatLab

Abstract

In this paper, Voice Signal Compression and These masking models are called Psychoacoustic Models Spectrum Analysis (VSCSA) is a technique that is used to (PM). The original PM is defined in Figure-[l].compress transparent high quality voice signals upto 45% -Psychoacoustic model is taken by reference no.- [3]. PM 60% of the source file at low bit rate 45kbps with same calculates a masking threshold, which is the maximum extension (i.e. .wav to .wav), then voice spectrum analysis distortion energy masked by the signal energy from each (VSA) is started. Voice Signal Compression (VSC) is done coding portion developed by us. The psychoacoustic model is by using adaptive wavelet packet a tool of MatLab for based on many studies of human perception. Effects due to