Application of Artificial Intelligence to Aviation Communication
Abstract
US Air Force manned-unmanned teaming (MUM-T) technologies are under development to support incursion into contested airspace. Because of higher workload in these environments, voice communications are of paramount importance since there must also be audio communication with unmanned systems. Natural Language Processing (NLP) as an enabling technology for MUM-T. Unique technological challenges common in tactical environments include high stress, audio noise, and communication dropouts. The first part of this effort involves the simulation of both vocabulary and voice to aid the development of the expert human machine (EHM) communication system. This presentation details the results of this simulation effort. Furthermore, we will show how these expert systems will be used in an AI/ML environment to develop NLP models adapted to predict missing words in voice communications. Current work uses automatic speech recognition (ASR) to extend/enhance the NLP/EHM model to improve voice communications.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 13, 2023
- Accession Number
- AD1198835
Entities
People
- Shokoufeh Mirzaei
- Yukti Vijay
Organizations
- 412th Test Wing