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
Gebäude: ZPD
Raum: 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

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