Voice authentication based on the Russian-language dataset, MFCC method and the anomaly detection algorithm
А. И. Сидорова, Konstantin Kogos · Annals of Computer Science and Information Systems · 2020
Almost all people's data is stored on their personal devices.There is a need to protect information from unauthorized access.PIN codes, passwords, tokens can be forgotten, lost, transferred, brute-force attacked.For this reason, biometric authentication is gaining in popularity.Biometric data are unchanged for a long time, different for users, and can be measured.This paper explores voice authentication due to the ease of use of this technology, since obtaining voice characteristics of users doesn't require an equipment in addition to the microphone.The method of voice authentication based on an anomaly detection algorithm has been proposed.The software module for text-independent authentication has been implemented on the Python language.It's based on a new Mozilla's open source voice dataset "Common voice".Experimental results confirmed the high accuracy of authentication by the proposed method.