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Deep learning takes on GIFs, fashion, doodles and more at ACM Mu…

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Playlists that adapt to your commute

You know that good feeling when the perfect song comes on at the perfect time, at the perfect place? These Brits think they can simulate that by actually keying tracks and parts of tracks to different locations, actions, and other factors that come into your walk or ride to work.

The idea is simply to automatically play songs that fit well with the user’s current situation: something relaxing for a nice view, a pump-up jam for trucking up a hill, and what have you. While the tracks were manually selected, they were trimmed, crossfaded, and otherwise changed dynamically on the go. It’s a proof of concept with very little AI behind it, but future versions could have much more autonomy.

Key quote: “Two participants highlighted the incongruence between the fixed playlist, which starts with two high intensity tracks, and that part of the walk from the stately home along a tree-lined avenue.”

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