Audio-based Gender and Age Identification

Abstract

Nowadays interaction between humans and computers is increasing rapidly. Efficiency and comfort of these interactions depend on the availability of user information to computers. Gender, age and emotional state are most the most fundamental pieces of these information. Extraction of such information from audio or video data is an important research area. There are several works on different languages including especially English, German and Italian. In this study, we developed a system for Turkish language to extract gender and age information from the speech. Our test results show that the proposed system is able to identify the gender and age range of the speaker with a success rate of 99%.