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Simeon Rau

M.Sc.

Doctoral Researcher
Visualization Research Center (VISUS)
Sedlmair Group

Contact

+49 711 685 88628
Email
GitHub

Allmandring 19
70569 Stuttgart
Germany
Room: 00.010

Publications

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2022
1. Rau, S., Heyen, F., Wagner, S., & Sedlmair, M. (2022). Visualization for AI-Assisted Composing. Proceedings of the 23rd International Society for Music Information Retrieval Conference, 151–159. https://doi.org/10.5281/zenodo.7316618
  - BibTeX
  - Link
  BibTeX
  @inproceedings{simeon_rau_2022_7316618, abstract = {We propose a visual approach for interactive, AI-assisted composition that serves as a compromise between fully automatic and fully manual composition. Instead of generating a whole piece, the AI takes on the role of an assistant that generates short melodies for the composer to choose from and adapt. In an iterative process, the composer queries the AI for continuations or alternative fill-ins, chooses a suggestion, and adds it to the piece. As listening to many suggestions would take time, we explore different ways to visualize them, to allow the composer to focus on the most interesting-looking melodies. We also present the results of a qualitative evaluation with five composers.}, address = {Bengaluru, India}, author = {Rau, Simeon and Heyen, Frank and Wagner, Stefan and Sedlmair, Michael}, booktitle = {Proceedings of the 23rd International Society for Music Information Retrieval Conference}, doi = {10.5281/zenodo.7316618}, month = {12}, pages = {151-159}, publisher = {ISMIR}, title = {Visualization for AI-Assisted Composing}, url = {https://doi.org/10.5281/zenodo.7316618}, venue = {Bengaluru, India}, year = 2022 }
  Link
  https://doi.org/10.5281/zenodo.7316618
2021
1. Rau, S., Heyen, F., & Sedlmair, M. (2021, November). Visual Support for Human-AI Co-Composition. Extended Abstracts for the Late-Breaking Demo Session of the 22nd Int. Society for Music Information Retrieval Conf. (ISMIR). https://archives.ismir.net/ismir2021/latebreaking/000014.pdf
  - BibTeX
  - Link
  BibTeX
  @inproceedings{simeon_rau_2021, abstract = {We propose a visual approach for AI-assisted music composition, where the user interactively generates, selects, and adapts short melodies. Based on an entered start melody, we automatically generate multiple continuation samples. Repeating this step and in turn generating continuations for these samples results in a tree or graph of melodies. We visualize this structure with two visualizations, where nodes display the piano roll of the corresponding sample. By interacting with these visualizations, the user can quickly listen to, choose, and adapt melodies, to iteratively create a composition. A third visualization provides an overview over larger numbers of samples, allowing for insights into the AI's predictions and the sample space.}, author = {Rau, Simeon and Heyen, Frank and Sedlmair, Michael}, booktitle = {Extended Abstracts for the Late-Breaking Demo Session of the 22nd Int. Society for Music Information Retrieval Conf. (ISMIR)}, month = {11}, publisher = {ISMIR}, tags = {myown vis(us) visus:heyenfk visus:sedlmaml cybervalley peerreviewed visus visus:rausn sent:unibiblio for:visus}, title = {Visual Support for Human-AI Co-Composition}, url = {https://archives.ismir.net/ismir2021/latebreaking/000014.pdf}, year = 2021 }
  Link
  https://archives.ismir.net/ismir2021/latebreaking/000014.pdf

Simeon Rau

Contact

Publications

2022

BibTeX

Link

2021

BibTeX

Link

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Simeon Rau

Contact

Publications

2022

BibTeX

Link

2021

BibTeX

Link

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Audience

Formalities

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