Speaker Voice Recognition Using A Hybrid PSO/Fuzzy Logic System
Nuha Al-Tekreeti, Abdullahi Abdu İbrahim · 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) · 2020
The importance of security and the identification of people is growing in today's society, giving rise to several methods to meet this need. One way to meet this need is using biometrics to identify a person by their unique characteristics. the biometrics measures an individual's physiological or behavioral characteristics to identify them it, for example, the characteristics of a person's face (physiological characteristic) or the way a person walks (behavioral) In this work we have designed and implemented a system whose main purpose is to detect the signals of the human voice and recognize the identity of the speaker, we implement our scheme using machine learning techniques where we extract the features of the speaker's audio file and then classify it into labels.