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Institute of Computational Perception
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Paul Primus


University Assistant

Research Interests

  • Acoustic Scene Understanding
  • Anomaly Detection
  • Domain Adaptation
  • Few-Shot & Zero-Shot Classification


Publications / Workshops / Challenges

  • Primus P.: Reframing Unsupervised Machine Condition Monitoring as a Supervised Classification Task with Outlier-Exposed Classifiers. DCASE2020 Challenge

  • Primus P., Eghbal-zadeh H., Eitelsebner D., Koutini K., Arzt A., and Widmer G.: Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019; Best Student Paper Award, opens an external URL in a new window)

  • Primus P., and Eitelsebner D.: Acoustic Scene Classification with Mismatched Recording Devices. DCASE2019 Challenge (Judges Award, opens an external URL in a new window)

Teaching

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