Male Female Voice Recognition As An Initial Design For Voice Authentication Alternatives

Setiawan, Hermawan (Politeknik Siber dan Sandi Negara)
Tobing, Tio Hana Lolita Lumban (Badan Siber dan Sandi Negara)
Marbun, Jonathan Sebastian (Politeknik Siber dan Sandi Negara)
Manurung, Bahteramon Bintang Sanjaya (Politeknik Siber dan Sandi Negara)
Putra, I Gede Maha (Politeknik Siber dan Sandi Negara)
Dramaga, M. Rakhmat (Politeknik Siber dan Sandi Negara)

International Conference on Sciences Development and Technology
The 2nd ICoSDTech 2022

Artificial Intelligence (AI) technology has experienced a very rapid development, where AI has become a part of daily life. One of the applications of AI that has been widely implemented is the Voice Gender Recognition service. With the help of AI, it can be used to find out the gender of the voice sample uploaded to the application. Speech recognition is not something easy to do. Not a few did not manage to get the desired result.  This study is the first step that sound becomes a way of authenticating a person. Applications are built using the R language. CART models are used to make decision-making easier. A sample of 20 respondents was taken with various conditions when recorded. The final result of the application gets an accuracy percentage of 82%.Artificial Intelligence (AI) technology has experienced a very rapid development, where AI has become a part of daily life. One of the applications of AI that has been widely implemented is the Voice Gender Recognition service. With the help of AI, it can be used to find out the gender of the voice sample uploaded to the application. Speech recognition is not something easy to do. Not a few did not manage to get the desired result.  This study is the first step that sound becomes a way of authenticating a person. Applications are built using the R language. CART models are used to make decision-making easier. A sample of 20 respondents was taken with various conditions when recorded. The final result of the application gets an accuracy percentage of 82%.