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Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms

by Abdelmajid H. Mansour, Gafar Zen Alabdeen Salh, Khalid A. Mohammed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 2
Year of Publication: 2015
Authors: Abdelmajid H. Mansour, Gafar Zen Alabdeen Salh, Khalid A. Mohammed
10.5120/20312-2362

Abdelmajid H. Mansour, Gafar Zen Alabdeen Salh, Khalid A. Mohammed . Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms. International Journal of Computer Applications. 116, 2 ( April 2015), 34-41. DOI=10.5120/20312-2362

@article{ 10.5120/20312-2362,
author = { Abdelmajid H. Mansour, Gafar Zen Alabdeen Salh, Khalid A. Mohammed },
title = { Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 2 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number2/20312-2362/ },
doi = { 10.5120/20312-2362 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:01.003837+05:30
%A Abdelmajid H. Mansour
%A Gafar Zen Alabdeen Salh
%A Khalid A. Mohammed
%T Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 2
%P 34-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Voice recognition is an important and active research area of the recent years. This research aims to build a system for voice recognition using dynamic time wrapping algorithm, by comparing the voice signal of the speaker with pre-stored voice signals in the database, and extracting the main features of the speaker voice signal using Mel-frequency cepstral coefficients, which is one of the most important factors in achieving high recognition accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Voice Recognition Feature Extraction Feature matching voice signal.

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