Abstract: Systems and methods are disclosed comprising techniques for signal conversion, such as monitoring digital communications signal data transmitted among a user set, converting signal data of a first discrete signal chunk into a first alphanumeric signal set, inputting the first alphanumeric signal set into a machine learning model to generate a first scoring distribution that maps to a first signal event category set, retrieving, for a second discrete signal chunk, a second alphanumeric signal set and a second scoring distribution that maps to a second signal event category set, determining a signal event divergence score via comparing the first and the second scoring distributions, and when the signal event divergence score fails to satisfy a tolerance threshold, transmitting, to at least one user of the user set, an interventive action that, when executed by the at least one user, causes a transformation of the digital communications signal data.