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Jaber, Qazem
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Evaluation of speech signal features extraction methods Shayeb, Ismail; Asad, Naseem; Alqadi, Ziad; Jaber, Qazem
Journal of Applied Science, Engineering, Technology, and Education Vol. 2 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.631 KB) | DOI: 10.35877/454RI.asci2151

Abstract

Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.
Co-Authors Alqadi, Ziad Asad, Naseem Shayeb, Ismail