Methods and systems for training a machine learning model and authenticating a user with the model

Abstract

A method of training a machine learning model (MLM) to conduct authentication transactions includes obtaining, by an electronic device, a training dataset of audio signals. Each audio signal includes voice biometric data of a user and an audio data production flag and belongs to a same or different data class. Moreover, the method includes creating, using a MLM being trained, at least one embedding for each audio signal and calculating, using the at least one embedding, a loss for a machine learning algorithm used for training the MLM. Furthermore, the method includes updating parameters of the MLM based on the calculated loss. In response to determining criteria defining an end of training have been satisfied, deeming the MLM to be operable for use in simultaneously successfully verifying the identity of a user based on voice biometric data and verifying the voice biometric data was spoken by a living person.