@article{article_1169674, title={Gender Detection Via Voice Using Artificial Intelligence Algorithms}, journal={Gazi Journal of Engineering Sciences}, volume={8}, pages={567–575}, year={2022}, author={Gönen, Serkan and Barışkan, Mehmet Ali and Karacayılmaz, Gökçe and Alhan, Birkan and Yılmaz, Ercan Nurcan and Artuner, Harun}, keywords={Artificial Intelligence, Gender Recognition, Cyber Security, Voice Analysis, Feature Extraction, Supervised Learning, Gradient Boosting Machine}, abstract={As a result of the developments in science and technology, all our living spaces, from health, education, and trade to our social life, have been moved to the digital environment. With this process, artificial intelligence, which is the ultimate goal of creating systems that think and act like human beings, has started to be used in all areas of our lives. This study focuses on gender determination by using artificial intelligence algorithms on voice data. Thanks to this determination, significant contributions will be made in various fields such as social engineering and cyber security such as fraud, person detection, and advertising investments. The study used a completely open-source R application for various artificial intelligence algorithms. In this way, a solution has been provided to take the security as mentioned above measures with low cost instead of high-cost systems and increase the sales figures in areas such as marketing. In the study, supervised learning artificial intelligence algorithms were examined. The artificial intelligence analysis results of the study have shown that the gender of the person could be determined at very successful rates through the voice data.}, number={3}, publisher={Parantez Teknoloji}