Intelligent Music Processing

Student Projects in Intelligent Music Processing

Contacts (if not stated otherwise): Verena Haunschmid, Jan Schlüter

These student projects can be started any time (including holidays) and can span over semester boundaries.

Remark: We are open for new proposals - if you are interested in Intelligent Music Processing, feel free to contact us!


  • Real-time Score Following for Automatic Musical Accompaniment
  • Sound detection and segmentation in opera recordings
  • Source Separation (Contact: Verena Haunschmid)
  • Emotion, Mood and Theme Recognition (Contact: Verena Haunschmid)
  • Instrument Detection / Tagging (Contact: Verena Haunschmid)
  • Learning Timbre and Pitch Invariant Audio Features for Arbitrary Downstream Tasks (Contact: Paul Primus)
  • Cross-dataset comparison of machine learning tasks in music information retrieval (Markus Schedl)
  • Intelligent music browsing interfaces (Markus Schedl)