Voice Gender Recognition Using Deep Learning
- https://doi.org/10.2991/msota-16.2016.90How to use a DOI?
- deep learning; voice recognition; multilayer perceptron networks
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/msota-16.2016.90 ID - Buyukyilmaz2016/12 ER -