PENGENAL SUARA BERBASIS TEMPLATE-BASED UNTUK MENGENALI GENDER

Dimas Nugraha Polusina, Fabiano (2022) PENGENAL SUARA BERBASIS TEMPLATE-BASED UNTUK MENGENALI GENDER. Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

Sound is one of the main human media for communicating in addition to using writing and sign language. Voice recognition system is a system that is responsible for identifying a person from the voice issued when performing commands. The study designed a voice recognition system for recognizing gender using the Fast Fourier Transform (FFT) and Euclidean Distance methods. System design begins with the processing of reference voice data and test sound data to be feasible and easy to classify. Both of these sound data go through the same process, preprocessing and the characteristic extraction process. Then, the results of the extraction of traits using this FFT method will be classified similarly to using the Euclidean Distance. The smallest distance or value of this Euclidean calculation will be determined into the output. Based on the results of system testing, the highest percentage of accuracy achieved by the system is 90% and the lowest is 70%, with an overall average of 82,5%. The results were obtained from tests conducted on 40 test sound samples on 4 reference sound samples from 2 men and 2 women, who said the same word "Hello".

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