Buyukyilmaz, MucahitCibikdiken, Ali Osman2024-02-232024-02-232016978-94-6252-284-82352-538Xhttps://hdl.handle.net/20.500.12452/17446International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA) -- DEC 18-19, 2016 -- Xiamen, PEOPLES R CHINAIn 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.eninfo:eu-repo/semantics/closedAccessDeep LearningVoice RecognitionMultilayer Perceptron NetworksConference Object58409411WOS:000429612600090