Microsoft has been testing this for months, monitoring its models in the real world to verify that Team users notice the echo reduction and call quality improvements. The software company used 30,000 hours of speech to train its models, and thousands of devices were captured through crowdsourcing, in which Teams users are paid to record their voice and playback audio from their device.
If Teams detect sound bouncing or echoing in a room, resulting in shallow audio, the model will convert and process the acquired audio to make it appear like Teams players are speaking into a close-range microphone rather than an echoey mess.
