Intelligent Audio Processing

Student projects in Intelligent Audio Processing

Contacts (if not stated otherwise): Paul Primus, Khaled Koutini

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 Audio Processing, feel free to contact us!


  • Data augmentation for machine listening
  • Adversarial robustness for machine listening
  • Semi-supervised machine listening
  • Weakly-supervised machine listening
  • Machine listening with noisy labels
  • Acoustic Scene Classification
  • Audio Tagging
  • Sound Event Detection
  • Sound Event Localization
  • Voice (Style-) Transfer
  • Anomalous Sound Detection (similar to DCASE2020 Task2)
  • Audio Source Separation (Contact: Verena Haunschmid)
  • Concept Whitening for Interpretable Audio Recognition (Inspired by this paper; Contact: Verena Haunschmid)