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Paul Primus

Paul Primus

Paul Primus, Dipl.-Ing.


University Assistant

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Research Interests

  • Generative Audio & Music Models
  • Acoustic Scene Understanding
  • Anomaly Detection, Domain Adaptation


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)

  • Primus P., and Eitelsebner D.: Acoustic Scene Classification with Mismatched Recording Devices. DCASE2019 Challenge (Judges' Award)

Teaching

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