Voice Gender Recognition Using Deep Learning

DOI

10.2991/msota-16.2016.90How to use a DOI?

Keywords

deep learning; voice recognition; multilayer perceptron networks

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mucahit Buyukyilmaz
AU  - Ali Osman Cibikdiken
PY  - 2016/12
DA  - 2016/12
TI  - Voice Gender Recognition Using Deep Learning
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 409
EP  - 411
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.90
DO  - 10.2991/msota-16.2016.90
ID  - Buyukyilmaz2016/12
ER  -