Controller-Pilot Voice Communication and Intent Monitoring for Future Aviation Systems Safety

This effort combines speech analytics, Speed to Text (STT) translation software, and intent inference algorithms in order to assess aviation system safety.nbsp; Each of these components has a different perspective on spotting potential off-nominal and anomalous conditions, for instance, in the way people speak under stress and high workload, the mis-communications and mishearing of key words in a dialog, or the intent to follow a command or not follow a command.nbsp; The system being designed and built analyzes pilot-controller conversations in real-time, identifies key speech features, STT translations, and intent models to identify if the situation is nominal, off-nominal, or anomalous.nbsp;nbsp;