Gender Detection Via Voice Using Artificial Intelligence Algorithms
Serkan Gönen, Mehmet Ali BARIŞKAN, Gökçe KARACAYILMAZ, Birkan ALHAN, Ercan Nurcan Yılmaz, Harun Artuner · Gazi Journal of Engineering Sciences · 2021
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.In the analysis of the study, R application, a completely open-source, for various artificial intelligence algorithms has been used.In this way, a solution has been provided to take the security as mentioned above measures with low cost instead of highcost systems and increase the sales figures in areas such as marketing.In the study, supervised learning artificial intelligence algorithms have been examined.The artificial intelligence analysis results of the study have shown that the gender of the person could be determined above % 97 successful rates through the voice data.