Microsoft Teams will use AI and machine learning to improve video calls

Microsoft has just announced that they are making quite a few changes to Microsoft Teams to make their video calling more competitive with industry leaders such as Zoom. To do this, they will be using AI and machine learning to improve various aspects of video calls. But what improvements can these changes make?

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Microsoft announced that this new feature utilizing AI and machine learning will be rolling out to all Teams users within the next few months. This feature will include echo cancellation, dereverberation, interruptibility, and background noise suppression.

Teams will utilize AI to distinguish between the user and sounds from the speaker. This will allow Teams to remove echoes without interrupting other voices. They will also use machine learning to address poor room acoustics. This means the program will adjust the audio quality based on the room or location it’s used. 

The program will also use AI to assist with background noise suppression during a meeting. This can block out noisy traffic, a barking dog, and more. Machine learning will also improve interruptibility and ensure a natural flow of conversation. 

Other improvements include using machine learning to improve real-time screen optimization and AI-based optimization on calls with a lower bandwidth, as well as improvements to brightness and focus filters.

Some of these features are already available in a recent update for Windows, Mac and iOS, with Android and web clients following soon. It also took five years, but Microsoft Teams is finally available in the Microsoft Store, which means issuing updates will be much easier.

We look forward to seeing how these advancements impact the quality of video calls in Microsoft Teams. If you haven’t used the platform yet, be sure to check our guide on what Microsoft Teams is and how to use it.