Voice Gender Recognition Using Deep Learning

被引：0

作者：

Buyukyilmaz, Mucahit ^{[1
]}

Cibikdiken, Ali Osman ^{[2
]}

机构：

[1] Necmettin Erbakan Univ, Adv Computat & Data Anal Lab, Konya, Turkey

[2] Necmettin Erbakan Univ, Dept Comp Engn, Konya, Turkey

来源：

PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION TECHNOLOGIES AND APPLICATIONS (MSOTA2016) | 2016年 / 58卷

关键词：

deep learning; voice recognition; multilayer perceptron networks;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

In this article, a Multilayer Perceptron (MLP) deep learning model has been described to recognize voice gender. The data set have 3,168 recorded samples of male and female voices. The samples are produced by using acoustic analysis. An MLP deep learning algorithm has been applied to detect gender-specific traits. Our model achieves 96.74% accuracy on the test data set. Also the interactive web page has been built for recognition gender of voice.

引用

页码：409 / 411

页数：3

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