NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis
Description
The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as machine learning, (ML), artificial intelligence (AI), and advanced data analytics for use in improving the FAA’s traffic flow management. In this specific use case, our aim is to use deep learning to convert live ATCSCC webinar meeting conversation to text, and then apply natural language processing to the converted text data for later analysis and review.
Detailed example
Text from speech to text and NLP of air traffic management content.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as machine learning, (ML), artificial intelligence (AI), and advanced data analytics for use in improving the FAA’s traffic flow management. In this specific use case, our aim is to use deep learning to convert live ATCSCC webinar meeting conversation to text, and then apply natural language processing to the converted text data for later analysis and review.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
traffic management data