Machine Learning Engineer @ Tenfifty
Oompa Loompa and How to Save Lives Using Speech to Text
I will talk about how we at Tenfifty, together with The Swedish Maritime Administration, use AI to help the rescue leaders working at the Joint Rescue Co-ordination Centre (JRCC) save lives around the Swedish coastline. The project named Heimdall is set out to detect emergency messages sent using VHF around the Swedish coast. I will talk about how open source can outperform existing solutions and how big of an impact noisy audio and the specific domain have on existing models.
Niclas is a former software engineering student from Chalmers, working as a data scientist at Tenfifty in Gothenburg since 2021. He works with applied machine learning to solve real-world problems for customers every day. Niclas co-authored the thesis “Automatic Emergency Detection in Naval VHF Transmissions” at Tenfifty and has since worked with integrating the theory into practice.