Voice Gender Recognition Using Deep Learning
Mücahit Büyükyılmaz, Ali Osman Çıbıkdiken · 2016
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 genderspecific 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.