Purba, Irawana2022-03-142022-03-142021-09wahyu sari yenihttps://repository.unri.ac.id/handle/123456789/10469The security verification process uses many body biometrics, one of which is the human voice. In this study, an analysis of the human voice spectrum has been carried out using the implementation of thealgorithm Fast Fourier Transform based on MATLAB R2017b. This study aims to determine the characteristics of human voice patterns based on gender and age. Voice recording is done using a laptop and Audacity software and then saved in wav format. The sound spectrum parameters to be determined are amplitude, frequency, and magnitude. Sampling was done by recording the voices of children 8-9 years old and adults 22-23 years old with the pronunciation of the letter A in two seconds and the pronunciation of A using the tone do re mi fa so la si do. The results showed . The average amplitude and magnitude of male voices is greater than that of female voices. With increasing age, the average sound frequency will decrease, based on gender in boys, pronunciation of A with a tempo of 2 seconds, 224.66 Hz, girls, 317.05 Hz, In adult men, 214.38 Hz and in adult women, 250.51 Hz. pronunciation A using the tone do re mi fa so la si do obtained the average frequency in boys is 515.73 Hz, girls is 718.7 HZ, adult men are 462.65 Hz, and adult women have an average frequency of 699.41 Hz The average male voice is lower than the female voice.enHuman voiceSignalFast fourier transformFast fourier transformArticle