Innovation at Its Finest

The Machine Learning Club in Action

Our Machine Learning Club is a hub of innovation and collaboration that brings together young engineers from our four business units to build proof of concepts around Televic specific AI blocks.

By bringing together engineers with different backgrounds, we create a dynamic environment that fosters creativity and sparks new ideas. The team works together to share knowledge and experience, leveraging their strengths to build new and innovative AI applications. They strive to build proof of concepts that showcase the full potential of Televic.

Last month, the members of our Machine Learning Club had an exciting opportunity to test their speech-to-text solution in the wild, onboard a Transpennine Express train. The club had been working on this research project for months, testing the research on a live train was therefore a significant milestone. The speech-to-text solution that the club developed is designed to provide passengers on the train a second way of receiving the real-time information announced by a train guard, such as the upcoming stops, delays, and other important announcements. This, to improve the overall passenger experience and make travel more accessible for everyone, which is the club’s larger mission.

Train face

The test on the Transpennine Express train was a significant success. The solution was accurate, providing passengers with timely information throughout the journey. This was a big accomplishment for the team, as it demonstrated the effectiveness of their solution in a real-world setting.

This project is a perfect example of the innovative spirit and dedication of our people and teams. It is through the hard work and creativity of our employees that we can continue to innovate and make a positive impact on the world. Congratulations to all members of the Machine Learning Club on this great achievement: Brecht Deprez, Alexander Sarmanow, Michiel Vandecappelle and Steven Lauwereins. Let’s keep innovating!

Televic GSP's machine learning team

This article was originally published by Televic GSP.

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