C-RNN-GAN: Continuous recurrent neural networks with adversarial training

AI music maker that learns from classical songs

This short piece talks about a new way computers are taught to make music.
Researchers train one program to create melodies and another to tell if they sound real, like a friendly contest, and the result is surprising.
The system was fed a bunch of classical pieces so it could hear how music flows, and over time it start to make tunes that feel more natural.
Some songs sound oddly close to human play, others still need work, but people notice it improves as it practices.
You can listen and decide, download examples are shared so anyone can judge for themselves.
This method works with the smooth, moving parts of music, not just notes as separate bits, so it can capture little things that matter when you listen.
It wont always be perfect, yet it already makes moments that feel alive.
If you like curious tech and music, this shows how a quiet kind of AI music can learn from classical pieces and make new songs, some surprisingly beautiful, some playful — go hear and download a clip to try.

Read article comprehensive review in Paperium.net:
C-RNN-GAN: Continuous recurrent neural networks with adversarial training

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