I am a postdoctoral researcher at Aalborg University, Denmark with the Pioneer Centre for AI, Copenhagen, Denmark and an active member of the DCASE community.
From 2017 to 2024, I was a research associate at the Fraunhofer FKIE, Wachtberg, Germany, and in 2024 I was a visiting research scientist at MERL, Cambridge, MA, USA.
I received my B.Sc. degree in mathematics at the University of Münster, Germany, in 2014 and my M.Sc. and Ph.D. degree in computer science at the University of Bonn, Germany, in 2017 and 2024, respectively.
My research focuses on anomaly and out-of-distribution detection for audio data, with applications such as acoustic machine condition monitoring, keyword spotting and sound event detection.
Resume: (last update: 09/2025)
Full CV: (last update: 09/2025)
You can also find me on Google Scholar and dblp.
Why do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection? |
K. Wilkinghoff, F. Kurth. IEEE ACM Trans. Audio Speech Lang. Process. |
Glottal Mixture Model (GLOMM) for Speaker Identification on Telephone Channels |
P. M. Baggenstoss, K. Wilkinghoff, F. Kurth. EUSIPCO. |
Handling Domain Shifts for Anomalous Sound Detection: A Review |
K. Wilkinghoff, T. Fujimura, K. Imoto, J. Le Roux. DAS/DAGA. |
On Choosing Decision Thresholds for Anomalous Sound Detection in Machine Condition Monitoring |
K. Wilkinghoff, A. Cornaggia-Urrigshardt. ICA. |
FKIE-VUB System for DCASE2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring |
K. Wilkinghoff, Y. Bel-Hadj. DCASE2024 Challenge, Ranked 19/28. |
An Outlier Exposed Anomalous Sound Detection System for Domain Generalization in Machine Condition Monitoring |
K. Wilkinghoff. DCASE2022 Challenge, Ranked 10/32. |
Utilizing Sub-Cluster Adacos for Anomalous Sound Detection under Domain Shifted Conditions |
K. Wilkinghoff. DCASE2021 Challenge, Ranked 3/27. |
Judges' Award. |
Anomalous Sound Detection with Look, Listen, and Learn Embeddings |
K. Wilkinghoff. DCASE2020 Challenge, Ranked 8/40. |
Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders |
K. Wilkinghoff, F. Kurth. DCASE2019 Challenge, Ranked 19/39 and 3/7. |
Audio Embeddings for Semi-Supervised Anomalous Sound Detection |
Doctoral Thesis. Faculty of Mathematics and Natural Sciences, University of Bonn. |
Neural Networks in Speaker Identification |
Master's Thesis. Institute of Computer Science, University of Bonn. |
Kölner VDI Förderpreis 2018. |
AFCEA Bonn Studienpreis 2018. |
Homogenisierung nichtlinearer elliptischer Differentialgleichungen |
Bachelor's Thesis. Mathematical Institute, University of Münster. |