When people think of the greatest artists who've ever lived, they probably think of names like Beethoven or Picasso. No one would ever think of a computer as a great artist. But what if one day, that was indeed the case. Could computers learn to create incredible drawings like the Mona Lisa? Perhaps one day a robot will be capable of composing the next great symphony. Some experts believe this to be the case. In fact, some of the greatest minds in artificial intelligence are diligently working to develop programs that can create drawing and music independently from humans. The use of artificial intelligence in the field of art has even been picked up by tech giants the likes of Google. The projects that are included in this paper could have drastic implications in our everyday lives. They may also change the way we view art.

This paper introduces DeepBach, a graphical model aimed at modeling polyphonic music and specifically hymn-like pieces. We claim that, after being trained on the chorale harmonizations by Johann Sebastian Bach, our model is capable of generating highly convincing chorales in the style of Bach. DeepBach's strength comes from the use of pseudo-Gibbs sampling coupled with an adapted representation of musical data. This is in contrast with many automatic music composition approaches which tend to compose music sequentially. Our model is also steerable in the sense that a user can constrain the generation by imposing positional constraints such as notes, rhythms or cadences in the generated score. We also provide a plugin on top of the MuseScore music editor making the interaction with Deep-Bach easy to use.

Germany composer Johann Sebastian Bach remains a staple in classical music. His illustrious works such as Brandenburg Concertos, the Goldberg variations and Mass B minor remain some of the most powerful pieces ever made. Bach spent over 50 years perfecting his ability to adapt rhythms, forms and textures from styles abroad. Many regard him as one of the greatest composers to have ever lived. And one new artificial intelligence system can recreate Bach's biggest achievements in just minutes. Fast forward to the 21st century where music is created by statistical models and artificial intelligence in no time.

Gaetan Hadjeres and Francois Pachet at the Sony Computer Science Laboratories in Paris created DeepBach, then entered Bach's 352 chorales. The resulting composition is certainly in the style. So why does this work better than some other attempts? Part of it is the sample size of compositions. Another part is the chorale's formal structure (four voices, simple patterns of notes and harmonies).

Johann Sebastian Bach is widely considered one of the great composers of baroque music. Bach lived and worked in Germany during the 18th century and is revered for the beauty of his compositions and his technical mastery of harmony and counterpoint. One form of music that Bach excelled in was a type of polyphonic hymn known as a chorale cantata. These are based on Lutheran texts and sung by four voices. The composer starts with a well-known tune which is sung by the soprano and then composes three harmonies sung by the alto, tenor, and bass voices.

Johann Sebastian Bach is widely considered one of the great composers of baroque music. Bach lived and worked in Germany during the 18th century and is revered for the beauty of his compositions and his technical mastery of harmony and counterpoint. One form of music that Bach excelled in was a type of polyphonic hymn known as a chorale cantata. These are based on Lutheran texts and sung by four voices. The composer starts with a well-known tune which is sung by the soprano and then composes three harmonies sung by the alto, tenor, and bass voices.