When the ISS and Mission Control are communicating, they have three people hand writing what is being said to reduce the chance of errors. But NASA wanted a fourth, AI system to give them input on what’s being said as well. Deepgram was able to use space-to-ground audio to tailor a model for NASA to create transcripts that are now up to 89.6% accurate.
The transcripts generated by Deepgram will help NASA address some of the most common issues that come up in communications with the ISS. These include otherwise undetected readback errors—when an astronaut reads back an instruction to Mission Control to make sure they’re about to do the right thing, but says the wrong thing, and no one at Mission Control notices.
Deepgram’s ability to search through audio also makes it possible for NASA to parse historical records of previous missions to search for specific incidents during previous missions. For example, using Deepgram, NASA was able to search the 4 days of mission audio from the Gemini 4 mission for the moment when the flight controllers commanded James McDivitt to tell Ed White “to get back in!” the spacecraft before they passed into Earthʼs shadow.
We found the one piece of data we needed—in moments instead of trying to find it blindly. Give it a listen here.