| Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection K Wilkinghoff International Joint Conference on Neural Networks (IJCNN), 2021 | 45 | 2021 |
| Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection K Wilkinghoff International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2023 | 25 | 2023 |
| Utilizing sub-cluster AdaCos for anomalous sound detection under domain shifted conditions K Wilkinghoff Tech. Rep., DCASE2021 Challenge, 2021 | 24 | 2021 |
| Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders K Wilkinghoff, F Kurth Workshop on Detection and Classification of Acoustic Scenes and Events …, 2019 | 18 | 2019 |
| Self-Supervised Learning for Anomalous Sound Detection K Wilkinghoff International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2024 | 14 | 2024 |
| Fraunhofer FKIE Submission for Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring K Wilkinghoff Tech. Rep., DCASE2023 Challenge, 2023 | 14 | 2023 |
| Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection? K Wilkinghoff, F Kurth IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 608-622, 2024 | 13 | 2024 |
| On Open-Set Speaker Identification with I-Vectors K Wilkinghoff Odyssey - The Speaker and Language Recognition Workshop (Odyssey), 408-414, 2020 | 13 | 2020 |
| Towards Robust Speech Interfaces for the ISS HC Schmitz, F Kurth, K Wilkinghoff, U Müllerschkowski, C Karrasch, ... 25th International Conference on Intelligent User Interfaces Companion, 110-111, 2020 | 12 | 2020 |
| On Open-Set Classification with L3-Net Embeddings for Machine Listening Applications K Wilkinghoff 28th European Signal Processing Conference (EUSIPCO), 800-804, 2020 | 12 | 2020 |
| Combining Multiple Distributions based on Sub-Cluster AdaCos for Anomalous Sound Detection under Domain Shifted Conditions K Wilkinghoff Detection and Classification of Acoustic Scenes and Events Workshop (DCASE …, 2021 | 10 | 2021 |
| On using pre-trained embeddings for detecting anomalous sounds with limited training data K Wilkinghoff, F Fritz 31st European Signal Processing Conference (EUSIPCO), 186-190, 2023 | 7 | 2023 |
| An Outlier Exposed Anomalous Sound Detection System for Domain Generalization in Machine Condition Monitoring K Wilkinghoff Tech. Rep., DCASE2022 Challenge, 2022 | 6 | 2022 |
| Anomalous Sound Detection with Look, Listen, and Learn Embeddings K Wilkinghoff Tech. report in DCASE2020 Challenge Task, 2020 | 6 | 2020 |
| Speech Recognition Lab A Cornaggia-Urrigshardt, F Gökgöz, F Kurth, HC Schmitz, K Wilkinghoff International Conference on Military Communications and Information Systems …, 2022 | 5 | 2022 |
| Two-Dimensional Embeddings for Low-Resource Keyword Spotting Based on Dynamic Time Warping K Wilkinghoff, A Cornaggia-Urrigshardt, F Gökgöz 14th ITG Conference on Speech Communication, 9-13, 2021 | 5 | 2021 |
| Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring K Wilkinghoff Detection and Classification of Acoustic Scenes and Events Workshop (DCASE …, 2020 | 5 | 2020 |
| Calm Interfaces for Integrated C2 Systems HC Schmitz, A Cornaggia-Urrigshardt, F Gökgöz, S Kent, K Wilkinghoff International Command and Control Research and Technology Symposium (ICCRTS), 2019 | 5 | 2019 |
| General-Purpose Audio Tagging by Ensembling Convolutional Neural Networks based on Multiple Features K Wilkinghoff Detection and Classification of Acoustic Scenes and Events Workshop (DCASE …, 2018 | 4 | 2018 |
| On choosing decision thresholds for anomalous sound detection in machine condition monitoring K Wilkinghoff, A Cornaggia-Urrigshardt 24th International Congress on Acoustics (ICA), 2022 | 3 | 2022 |
Frank KurthFraunhofer FKIE, apl. Professor für Informatik, Universität BonnVerified email at fkie.fraunhofer.de
