deep artificial composer
Artificial Musician Builds New Melodies without Music Theory - insideBIGDATA
The "deep artificial composer", or "DAC" for short, generates brand-new melodies that imitate traditional folk music of Irish or Klezmer origin. It does so without plagiarizing already existing ones, since melodies it writes are as original as those produced by a human composer. The results were presented in April at this year's edition of the Evostar conference. The DAC actually produces musical scores of melodies, symbolic music written using notation, and does not generate audio files. The deep artificial composer can produce complete melodies, with a beginning and an end, that are completely novel and that share features that we relate to style," says Swiss Federal Institute of Technology in Lausanne (EPFL) scientists Florian Colombo who developed the artificial intelligence under the guidance of Wulfram Gerstner, director of the Computational Neuroscience Laboratory. "To my knowledge, this is the first time that an artificial neural network model has produced entire and convincing melodies.
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Artificial intelligence composes original melodies without music theory
A deep artificial composer, a new algorithm developed by EPFL scientists, can generate melodies that imitates a given style of music. In the long term, the deep artificial composer may one day generate convincing music for multiple instruments – on the fly – with applications in video games or as a tool to assist composers in the creative process.
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AI musician composes its own songs in different genres
Now artificial intelligence is set to conquer the world of music. Swiss researchers say they have developed a computer algorithm that can generate new tunes in various musical genres after listening to more than 2,000 songs. And while it isn't quite at the level of Justin Bieber or Adele, future versions of the system may be fine-tuned to create songs that rival those by today's musicians. The deep artificial composer, or DAC, produces original melodies that are'quite agreeable to listen to', according to its developers at EPFL research university in Lausanne, Switzerland The DAC system is trained to'listen' to existing tunes to learn what works. It then teaches itself to predict the pitch and duration of every note following another.
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