Journal of Applied Science, Engineering, Technology, and Education
Vol. 2 No. 1 (2020)

Evaluation of speech signal features extraction methods

Shayeb, Ismail (Unknown)
Asad, Naseem (Unknown)
Alqadi, Ziad (Unknown)
Jaber, Qazem (Unknown)

Article Info

Publish Date
14 May 2020

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.

Copyrights © 2020




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
730.631 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Journal of Applied Science, Engineering, Technology, and Education
Website

Abbrev

asci

Publisher

PT. Mattawang Mediatama Solution

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

Description

Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and ...