Speech file compression by eliminating unvoiced/silence components

Abstract

The main objective of this study is to have the noise component of a speech signal eliminated and compressed by storing the locations and durations of silence regions. The separation between voiced, unvoiced, and silence regions is done by using the Short-Time Energy (STE) and Zero Crossing Rate (ZCR) methodologies. All operations in this study have been performed by using the User Interface (UI) developed on MATLAB®. These operations include voice recording, playing the recording, eliminating the unwanted regions, playing the modified recording, saving original and compressed files, and loading the recording compressed.