Kevin Wilkinghoff

43 papers B 1Misc 7Journal 15Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Much Does Machine Identity Matter in Anomalous Sound Detection at Test Time? CoRR Kevin Wilkinghoff, Keisuke Imoto, Zheng-Hua Tan
2026	J	`jnl`	Mind the Gap: Detecting Cluster Exits for Robust Local Density-Based Score Normalization in Anomalous Sound Detection. CoRR Kevin Wilkinghoff, Gordon Wichern, Jonathan Le Roux, Zheng-Hua Tan
2026	J	`jnl`	Temporal Pooling Strategies for Training-Free Anomalous Sound Detection with Self-Supervised Audio Embeddings. CoRR Kevin Wilkinghoff, Sarthak Yadav, Zheng-Hua Tan
2025	J	`jnl`	DSpAST: Disentangled Representations for Spatial Audio Reasoning with Large Language Models. CoRR Kevin Wilkinghoff, Zheng-Hua Tan
2025	J	`jnl`	Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work. CoRR Kevin Wilkinghoff, Takuya Fujimura, Keisuke Imoto, Jonathan Le Roux, Zheng-Hua Tan, Tomoki Toda
2025	Misc	`conf`	Keeping the Balance: Anomaly Score Calculation for Domain Generalization. ICASSP Kevin Wilkinghoff, Haici Yang, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025	J	`jnl`	Local Density-Based Anomaly Score Normalization for Domain Generalization. CoRR Kevin Wilkinghoff, Haici Yang, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux
2025	Misc	`conf`	No Class Left Behind: A Closer Look at Class Balancing for Audio Tagging. ICASSP Janek Ebbers, François G. Germain, Kevin Wilkinghoff, Gordon Wichern, Jonathan Le Roux
2025	J	`jnl`	Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments. CoRR Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt, Zheng-Hua Tan
2024	J	`jnl`	AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks. CoRR Kevin Wilkinghoff
2024	—	`conf`	Analyzing the Impact of HF-Specific Signal Degradation on Automatic Speech Recognition. ICMCIS Fabian Fritz, Alessia Cornaggia-Urrigshardt, Lukas Henneke, Frank Kurth, Kevin Wilkinghoff
2024	—	`—`	Audio Embeddings for Semi-Supervised Anomalous Sound Detection Kevin Wilkinghoff
2024	Misc	`conf`	F1-EV score: Measuring The Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. ICASSP Kevin Wilkinghoff, Keisuke Imoto
2024	—	`conf`	Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting. EUSIPCO Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt
2024	J	`jnl`	Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting. CoRR Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt
2024	J	`jnl`	Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs. CoRR Paul M. Baggenstoss, Kevin Wilkinghoff, Felix Govaers, Frank Kurth
2024	Misc	`conf`	Self-Supervised Learning for Anomalous Sound Detection. ICASSP Kevin Wilkinghoff
2024	—	`conf`	Strong Label Generation for Preparing Speech Data in Military Applications Using CTC Loss. ICMCIS Fahrettin Gökgöz, Alessia Cornaggia-Urrigshardt, Kevin Wilkinghoff
2024	Misc	`conf`	TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping. ICASSP Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt
2024	J	`jnl`	Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection? IEEE ACM Trans. Audio Speech Lang. Process. Kevin Wilkinghoff, Frank Kurth
2023	Misc	`conf`	Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection. ICASSP Kevin Wilkinghoff
2023	J	`jnl`	F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. CoRR Kevin Wilkinghoff, Keisuke Imoto
2023	—	`conf`	Novel Generative Classifier for Acoustic Events. EUSIPCO Paul M. Baggenstoss, Kevin Wilkinghoff
2023	—	`conf`	On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data. EUSIPCO Kevin Wilkinghoff, Fabian Fritz
2023	J	`jnl`	Self-Supervised Learning for Anomalous Sound Detection. CoRR Kevin Wilkinghoff
2023	J	`jnl`	TempAdaCos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping. CoRR Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt
2023	J	`jnl`	Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection? CoRR Kevin Wilkinghoff, Frank Kurth
2022	—	`conf`	SCALA-Speech: An Interactive System for Finding and Analyzing Speech Content in Audio Data. GI-Jahrestagung Alessia Cornaggia-Urrigshardt, Nikita Jarocky, Frank Kurth, Sebastian Urrigshardt, Kevin Wilkinghoff
2022	—	`conf`	Speech Recognition Lab. ICMCIS Alessia Cornaggia-Urrigshardt, Fahrettin Gökgöz, Frank Kurth, Hans-Christian Schmitz, Kevin Wilkinghoff
2022	—	`conf`	Towards Human-Machine Integration for Signals Intelligence Applications. SDF Jonas D. Rockbach, Luka-Franziska Bluhm, Isabel Schlangen, Laura Over, Sabine Apfeld, Lukas Henneke, Kevin Wilkinghoff
2021	—	`conf`	Combining Multiple Distributions based on Sub-Cluster AdaCos for Anomalous Sound Detection under Domain Shifted Conditions. DCASE Kevin Wilkinghoff
2021	B	`conf`	Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection. IJCNN Kevin Wilkinghoff
2021	—	`conf`	Two-Dimensional Embeddings for Low-Resource Keyword Spotting Based on Dynamic Time Warping. ITG Conference on Speech Communication Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt, Fahrettin Gökgöz
2020	—	`conf`	On Open-Set Classification with L3-Net Embeddings for Machine Listening Applications. EUSIPCO Kevin Wilkinghoff
2020	—	`conf`	On Open-Set Speaker Identification with I-Vectors. Odyssey Kevin Wilkinghoff
2020	—	`conf`	Towards Robust Speech Interfaces for the ISS. IUI Companion Hans-Christian Schmitz, Frank Kurth, Kevin Wilkinghoff, Uwe Müllerschkowski, Christian Karrasch, Volker Schmid
2020	—	`conf`	Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring. DCASE Kevin Wilkinghoff
2019	—	`conf`	Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders. DCASE Kevin Wilkinghoff, Frank Kurth
2018	—	`conf`	Accurately Capturing Speech Feature Distributions by Extending Supervectors for Robust Speaker Recognition. ITG Symposium on Speech Communication Kevin Wilkinghoff
2018	—	`conf`	General-purpose audio tagging by ensembling convolutional neural networks based on multiple features. DCASE Kevin Wilkinghoff
2018	Misc	`conf`	Robust Detection of Jittered Multiply Repeating Audio Events Using Iterated Time-Warped ACF. ICASSP Frank Kurth, Kevin Wilkinghoff
2018	—	`conf`	Robust Speaker Identification by Fusing Classification Scores with a Neural Network. ITG Symposium on Speech Communication Kevin Wilkinghoff, Paul M. Baggenstoss, Alessia Cornaggia-Urrigshardt, Frank Kurth
2017	—	`conf`	Glottal mixture model (GLOMM) for speaker identification on telephone channels. EUSIPCO Paul M. Baggenstoss, Kevin Wilkinghoff, Frank Kurth