Open AccessEvaluation of speech signal features extraction methods
Author(s) -
Ismail Ghazi Shayeb,
Naseem Asad,
Ziad Alqadi,
Qazem Jaber
Publication year - 2020
Publication title -
journal of applied science, engineering, technology, and education
Language(s) - English
Resource type - Journals
ISSN - 2685-0591
DOI - 10.35877/454ri.asci2151
Subject(s) - computer science , signal (programming language) , speedup , speech recognition , histogram , speech processing , signal processing , extraction (chemistry) , digital signal processing , pattern recognition (psychology) , artificial intelligence , computer hardware , image (mathematics) , programming language , operating system , chemistry , chromatography
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.