Використання штучного інтелекту в системах голосової автентифікації

Abstract

Voice authentication is becoming more and more relevant in the modern world as a convenient and reliable method of personal identification. Artificial intelligence and phase modulation are promising technologies for improving this system. The purpose of this paper is to study the use of artificial intelligence and phase modulation in voice authentication systems to improve the quality and reliability of the face identification process. To perform this study, analytical work was conducted, including literature analysis and a review of existing voice authentication systems. Additionally, machine learning methods, discrete Fourier transform, and integration of phase information into neural networks were investigated.