@misc{12807,
  abstract     = {{Writing chorales in the style of Bach has been a music theory exercise for generations of music students. As such it is not surprising that automatic Bach chorale harmonization has been a topic in music technology for decades. We suggest several improvements to current neural network solutions based on musicological insights into human choral composition practices. Evaluations with expert listeners show that the generated chorales closely resemble Bach's harmonization style.}},
  author       = {{Leemhuis, Alexander and Waloschek, Simon and Hadjakos, Aristotelis}},
  booktitle    = {{Machine Learning and Knowledge Discovery in Databases : International Workshops of ECML PKDD 2019}},
  editor       = {{Cellier, Peggy and Driessens, Kurt}},
  isbn         = {{978-3-030-43886-9}},
  issn         = {{1865-0937}},
  keywords     = {{Bach chorale harmonization, Deep learning, Beam search}},
  location     = {{Würzburg}},
  pages        = {{462–469}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization}}},
  doi          = {{10.1007/978-3-030-43887-6_39}},
  volume       = {{1168}},
  year         = {{2020}},
}