Con Espressione - Getting at the Heart of Things: Towards Expressivity-aware Computer Systems in Music (ERC Advanced Grant)

Project: Funded researchEU - European Union

Project Details

StatusFinished
Effective start/end date01.01.201631.12.2021

Fields of science

  • 202002 Audiovisual media
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 102003 Image processing

JKU Focus areas

  • Digital Transformation
  • Learning to Read and Follow Music Incomplete Score Sheet Images

    Henkel, F., Kelz, R. & Widmer, G., Jul 2020, In Proceedings of the 21st International Society for MusicInformation Retrieval Conference, 2020. 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

  • Learning to Read and Follow Music in Complete Score Sheet Images

    Henkel, F., Kelz, R. & Widmer, G., 2020, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020). Cumming, J., Lee, J. H., McFee, B., Schedl, M., Devaney, J., Devaney, J., McKay, C., Zangerle, E. & de Reuse, T. (eds.). p. 916-922 7 p. (Proceedings of the 21st International Society for Music Information Retrieval Conference, ISMIR 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

  • Real-Time Visualisation of Fugue Played by a String Quartet

    Lartillot, O., Cancino Chacon, C. E. & Brazier, C., 2020, In Proceedings of the 17th Sound & Music Computing Conference (SMC 2020). 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review