Speech file compression by eliminating unvoiced/silence components | Zendy

Arda Sahin | Zendy; Mehmet Zübeyir Ünlü | Zendy

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Speech file compression by eliminating unvoiced/silence components

Author(s) -

Arda Sahin,

Mehmet Zübeyir Ünlü

Publication year - 2021

Publication title -

sustainable engineering and innovation issn 2712-0562

Language(s) - English

Resource type - Journals

ISSN - 2712-0562

DOI - 10.37868/sei.v3i1.119

Subject(s) - computer science , silence , speech recognition , energy (signal processing) , component (thermodynamics) , compression (physics) , signal (programming language) , upload , matlab , noise (video) , voice activity detection , computer hardware , speech processing , acoustics , artificial intelligence , statistics , physics , materials science , mathematics , image (mathematics) , composite material , thermodynamics , programming language , operating system

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.

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