Research Article | OPEN ACCESS
Speaker Identification Using Evolutionary Algorithm
Dr. Jane J. Stephan
University of Information Technology and Communication, Baghdad, Iraq
Research Journal of Applied Sciences, Engineering and Technology 2016 9:717-721
Received: March 25, 2016 | Accepted: July 14, 2016 | Published: November 05, 2016
Abstract
The aim of this study was identifying the speaker using evolutionary algorithm such as Genetic Algorithm (GA). This study provides an efficient approach for speaker identification using Discrete Wavelet Transform (DWT) and the Energy in feature extraction stage and Genetic Algorithm used in classification stage to recognize the sound of speaker. Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. The files that have been chosen here named WAV and recording sounds with different speakers. In practical side was used Delphi language (version 7) to tests the course. The results showed that the recognition good was 87%.
Keywords:
Energy, genetic algorithm , speaker identification , wavelet transform,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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