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IBM Watson will use noise levels to create US Open highlights

Tech is able to work out when a player is being particularly animated on court

This year’s US Open tennis championship will employ IBM Watson Open Scale to ensure players who are particularly noisy on court are given the same amount of coverage as their quieter counterparts.

The tournament has again partnered with IBM on its dedicated app, using a suite of AI-powered solutions on the IBM Cloud to analyse matches and deliver AI Highlights shortly after key moments are played

The app will use IBM’s Acoustic Insights to improve sound analysis and recognise when the ball has been struck, allowing a tighter cropping of highlight clips.

It will also employ IBM Watson Open Scale, which can recognise levels of noise and excitement levels of players, allowing it to remove bias when searching for highlights from players with a particularly popular following or those who are particularly animated on court.

Behind the scenes, the US Open digital experiences will be running for the first time on Red Hat OpenShift on the IBM Cloud. This new architecture will allow the USTA to scale up to meet increasing demand to US Open digital platforms over the tournament.

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