Year: 2017
Type: article
Abstract: This paper applies wavelet analysis to speech compression.A mother or basis wavelet is first chosen for the compression.The signal is then decomposed to a set of scaled and translated versions of the mother wavelet.The resulting wavelet coefficients that are insignificant or close to zero are truncated achieving signal compression.Analysis of the compression process was performed by comparing the compressed-decompressed signal against the original.This was conducted to determine the effect of the choice of mother wavelet on the speech compression.The results however showed that regardless of bases wavelet used the compression ratio is relatively close to one another.
Author: Harshalata Petkar
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2727469259