![]() ![]() The core of this tech is finding good start and end regions for transition between two songs, while also respecting the corresponding sound energies and choosing an appropriate transition accordingly (e.g. So, if you’ve ever listened to existing Automix features and how clumsy they are with starting and stopping tracks, this takes a different approach. Automix AI will identify where the transition occurs, decide how long the fade should be, and apply filters and EQ. So this isn’t just about mixing two different techno tracks with mechanical efficiency – it’s meant to go further across different tempos and genres. (Algoriddim tells CDM that was drawn from a variety of DJs, mostly in hip-hop and electronic genres.) Those sets were analyzed according to various sonic features, and the automixing applies those to your music. In this case, that data comes from existing DJ sets. When we say “A.I.,” we’re really talking machine learning – that is, “training” algorithms on large sets of data. And hold on to your hats, folks, if the “sync” button was unnerving to you, this goes further. One is powered by machine learning working with DJ sets, and one from data collected from listening (Spotify).Īutomix AI is a new mixing technology. The biggest break from how we’ve normally thought about DJ software comes in the form of automatic mixing and selection tools. ![]() A.I.D.J.? The next-generation djay Pro 2 for Mac adds mixing and recommendations powered by machine learning – and more human-powered features, too.
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