Deutsch Intern
Computational Humanities

Yannik Venohr

M.Ed. Yannik Venohr

Research Assistant / PhD Student
Computational Humanities
Universität Würzburg
Hubland Nord (ZPD)
Emil-Hilb-Weg 23
97074 Würzburg
Germany
Building: ZPD
Room: 02.008

As part of the Emmy-Noether Group with Prof. Christof Weiß, I work on leveraging multi-version data to get more robust deep learning models for music analysis. I mostly work on the task of automatic music transcription.

Teaching Activities

  • Exercise: Practical Foundations of Machine Learning, for BA Digital Humanities, Winter Term 2025/26
  • Seminar: Music Processing, for MSc Computer Science, MSc AI&XR, JMU Würzburg, Winter Term 2025/26
  • Bachelor's Thesis: Leonie Schafferhans, Synchronizing Heterogeneous Music Data Using Learned Representations, 2025
  • Master's Thesis: Marc-Philipp Knechtle, Beyond Solo Piano: Comparing Instrument-Agnostic Music Transcription Models on Polyphonic Classical Music Recordings, 2025
  • Seminar: Music Processing, for MSc Computer Science, MSc AI&XR, JMU Würzburg, Winter Term 2024/25

Publications

  • [1]
    Y. Venohr, Deep Learning in Personalized Music Emotion Recognition. in BestMasters. Springer Nature, 2025.
  • [1]
    Y. Venohr, Y. Ding, and C. Weiß, “Towards Robust Music Transcription By Measuring Cross-Version Consistency In Western Classical Music”, in Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), Daejeon, South Korea, 2025.
  • [1]
    Y. Ding, Y. Venohr, and C. Weiß, “An Evaluation Strategy For Local Key Estimation: Exploiting Cross-Version Consistency”, in Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), Daejeon, South Korea, 2025.