Microsoft Teams for Windows 10/11 and macOS is getting a new
compact UI for personal chats. The new compact mode will allow
you to view 50 percent more messages in the desktop client,
allowing users to easily multitask while communicating with
others in Microsoft Teams.
This feature has been designed for desktops and laptops with a
large screen where it would be easily possible to see 50
percent more messages on the screen. According to the roadmap,
Microsoft is not planning to add a compact mode for chats in
the Android and iOS versions of Teams, but you can expect
similar improvements on the web version.
This should be a welcome update for desktop users, but there’s
a catch – Teams new compact mode will only apply to personal
messages (you won’t be able to see more messages in channels).
To enable the feature, you will need to open Microsoft Teams
Settings > General > Chat Density and select “Compact”
instead of “Comfy” (the current experience).
As you can see in the above screenshot, Microsoft Teams new
compact UI is pretty solid and it includes support for
formatting options. Additionally, you can still use message
reactions or click on the “pop out the chat window” feature in
Microsoft Teams for consumers.
According to a notification on Microsoft 365 Admin Center,
compact mode for chats will start rolling out in mid-February.
Microsoft Teams automatic music detection is arriving later
Microsoft also confirmed that it’s actively working on a new
audio experience for Teams desktop client. The new feature will
automatically detect music and use machine-learning-based noise
suppression to reduce non-speech signals. Unfortunately, Teams’
new music detective feature won’t be ready for users for
another few months.
As mentioned, Microsoft Teams new audio feature is based on
1,000,000 audio clips which contain speech and music. The
feature also uses machine learning and performed tests using
1,000 additional audio clips from a wide range of contributors.
According to Microsoft officials, Teams desktop client will be
able to detect more than 81% of all music clips.