Speech file compression by eliminating unvoiced/silence components

Authors

  • Arda Sahin İzmir Institute of Technology
  • Mehmet Zubeyir Unlu İzmir Institute of Technology

DOI:

https://doi.org/10.37868/sei.v3i1.119

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.

Published

2021-01-20

How to Cite

[1]
A. Sahin and M. Z. Unlu, “Speech file compression by eliminating unvoiced/silence components”, Sustainable Engineering and Innovation, vol. 3, no. 1, pp. 11-14, Jan. 2021.

Issue

Vol. 3 No. 1 (2021)

Section

Articles

Copyright (c) 2021 Mehmet Zübeyir Ünlü, Arda Sahin

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