Speech file compression by eliminating unvoiced/silence components

Autor: Arda Sahin, Mehmet Zubeyir Unlu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Sustainable Engineering and Innovation, Vol 3, Iss 1, Pp 11-14 (2021)
Druh dokumentu: article
ISSN: 2712-0562
DOI: 10.37868/sei.v3i1.119
Popis: 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.
Databáze: Directory of Open Access Journals