In many device setups, the speaker is closer to the microphone than the end user. The tasks of an echo cancellation module are to recognize when the sound from loudspeaker gets into the microphone and then remove it from the outbound audio. This results in the person on the other end of the call hearing their own voice, which creates an echo effect: Teams optimizes audio for echo, interruptability and reverberation to improve the call experienceĮcho is a common audio affect that can negatively impact online meetings when one of the participants is not using a headset and the signal from their loudspeaker gets captured by their microphone. The demo below shows how the new ML model improves the Teams meeting experience. Audio in these challenging settings now sound no different compared to conversations from the office. Now, users can sound as if they’re speaking into a headset microphone, even when they’re in a large room where speech and other noise can bounce from wall to wall. Lastly, Teams uses AI to reduce reverberation, improving the quality of audio from users in rooms with poor acoustics. Now, users are able to speak and listen at the same time, allowing for interruptions that make the conversation seem more natural and less choppy. This model goes a step further to improve dialogue over Teams by enabling “full duplex” sound. We have recently extended our machine learning (ML) model to prevent unwanted echo – a welcome addition for anyone who has had their train of thought derailed by the sound of their own words coming back at them. Today, we want to spotlight new machine learning (ML) and AI-based features in Microsoft Teams that dramatically improve the sound quality of meetings and calls, even in the most challenging situations. This has been incredibly helpful in remote and mobile work settings, where users don’t always have full control over their environment. But for the mouth-sound-averse, it could also become a safe haven from weird, snack-time closeups.In a previous blog, we shared how Microsoft Teams uses AI to remove distracting background noise from meetings and calls. Microsoft says it developed the algorithm to make Teams a more distraction-free platform. But then, a miracle: the software, which Microsoft calls "real-time noise suppression," filtered it all out. It's the tell-tale warning sign that someone's about to subject their audience to a view of the inside of their mouth as they grind deep-fried potato to a hellish pulp - the classic beginning to a horror story experienced almost daily by the friends and families of loud eaters. Noise-Cancelling Groupchatsĭuring the demonstration, Aichner rustled his hand around in a bag of chips. "With the power of AI, Teams can remove that background noise and you can understand me very clearly," Microsoft's Robert Aichner said during a demo last week attended by CNET. The new AI algorithm is only on Microsoft's Teams program, their video conferencing platform (akin to Zoom, Google Hangouts, et al). Are we really supposed to mute our mics and potentially block our cameras every time we take a bite of something? The answer is "yes, obviously." But for anyone who hasn't figured that out, smash that mute button, chew softer, and take relief in CNET's report that new Microsoft AI can automatically filter out and remove any snacking-related sounds from group video calls. Like etiquette and (video) table manners. In the Age of Quarantine - social distancing, self-isolating, banned large crowds, and remote work - some of us are spending more time than ever in group video chats.īut for every new solution, there's a new problem. AI to help anyone who still hasn't figured out quarantine chat etiquette.
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