Glottal mixture model (GLOMM) for speaker identification on telephone channels. - Paul M. Baggenstoss; Kevin Wilkinghoff; Frank Kurth (EUSIPCO, 2017)

Accurately Capturing Speech Feature Distributions by Extending Supervectors for Robust Speaker Recognition. - Kevin Wilkinghoff (ITG Symposium on Speech Communication, 2018)

Robust Speaker Identification by Fusing Classification Scores with a Neural Network. - Kevin Wilkinghoff; Paul M. Baggenstoss; Alessia Cornaggia-Urrigshardt; Frank Kurth (ITG Symposium on Speech Communication, 2018)

General-purpose audio tagging by ensembling convolutional neural networks based on multiple features. - Kevin Wilkinghoff (DCASE, 2018)

Robust Detection of Jittered Multiply Repeating Audio Events Using Iterated Time-Warped ACF. - Frank Kurth; Kevin Wilkinghoff (ICASSP, 2018)

Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders. - Kevin Wilkinghoff; Frank Kurth (DCASE, 2019)

Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring. - Kevin Wilkinghoff (DCASE, 2020)

On Open-Set Classification with L3-Net Embeddings for Machine Listening Applications. - Kevin Wilkinghoff (EUSIPCO, 2020)

Towards Robust Speech Interfaces for the ISS. - Hans-Christian Schmitz; Frank Kurth; Kevin Wilkinghoff; Uwe Müllerschkowski; Christian Karrasch; Volker Schmid (IUI Companion, 2020)

On Open-Set Speaker Identification with I-Vectors. - Kevin Wilkinghoff (Odyssey, 2020)

Two-Dimensional Embeddings for Low-Resource Keyword Spotting Based on Dynamic Time Warping. - Kevin Wilkinghoff; Alessia Cornaggia-Urrigshardt; Fahrettin Gökgöz (ITG Conference on Speech Communication, 2021)

Combining Multiple Distributions based on Sub-Cluster AdaCos for Anomalous Sound Detection under Domain Shifted Conditions. - Kevin Wilkinghoff (DCASE, 2021)

Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection. - Kevin Wilkinghoff (IJCNN, 2021)

SCALA-Speech: An Interactive System for Finding and Analyzing Speech Content in Audio Data. - Alessia Cornaggia-Urrigshardt; Nikita Jarocky; Frank Kurth; Sebastian Urrigshardt; Kevin Wilkinghoff (GI-Jahrestagung, 2022)

Speech Recognition Lab. - Alessia Cornaggia-Urrigshardt; Fahrettin Gökgöz; Frank Kurth; Hans-Christian Schmitz; Kevin Wilkinghoff (ICMCIS, 2022)

Towards Human-Machine Integration for Signals Intelligence Applications. - Jonas D. Rockbach; Luka-Franziska Bluhm; Isabel Schlangen; Laura Over; Sabine Apfeld; Lukas Henneke; Kevin Wilkinghoff (SDF, 2022)

Novel Generative Classifier for Acoustic Events. - Paul M. Baggenstoss; Kevin Wilkinghoff (EUSIPCO, 2023)

On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data. - Kevin Wilkinghoff; Fabian Fritz (EUSIPCO, 2023)

Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection. - Kevin Wilkinghoff (ICASSP, 2023)

TempAdaCos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping. - Kevin Wilkinghoff; Alessia Cornaggia-Urrigshardt (CoRR, 2023)

Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting. - Kevin Wilkinghoff; Alessia Cornaggia-Urrigshardt (EUSIPCO, 2024)

Self-Supervised Learning for Anomalous Sound Detection. - Kevin Wilkinghoff (ICASSP, 2024)

TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping. - Kevin Wilkinghoff; Alessia Cornaggia-Urrigshardt (ICASSP, 2024)

F1-EV score: Measuring The Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. - Kevin Wilkinghoff; Keisuke Imoto (ICASSP, 2024)

Analyzing the Impact of HF-Specific Signal Degradation on Automatic Speech Recognition. - Fabian Fritz; Alessia Cornaggia-Urrigshardt; Lukas Henneke; Frank Kurth; Kevin Wilkinghoff (ICMCIS, 2024)

Strong Label Generation for Preparing Speech Data in Military Applications Using CTC Loss. - Fahrettin Gökgöz; Alessia Cornaggia-Urrigshardt; Kevin Wilkinghoff (ICMCIS, 2024)

Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs. - Paul M. Baggenstoss; Kevin Wilkinghoff; Felix Govaers; Frank Kurth (CoRR, 2024)

AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks. - Kevin Wilkinghoff (CoRR, 2024)

Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection? - Kevin Wilkinghoff; Frank Kurth (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Audio Embeddings for Semi-Supervised Anomalous Sound Detection - Kevin Wilkinghoff (2024)

No Class Left Behind: A Closer Look at Class Balancing for Audio Tagging. - Janek Ebbers; François G. Germain; Kevin Wilkinghoff; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Keeping the Balance: Anomaly Score Calculation for Domain Generalization. - Kevin Wilkinghoff; Haici Yang; Janek Ebbers; François G. Germain; Gordon Wichern; Jonathan Le Roux (ICASSP, 2025)

Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work. - Kevin Wilkinghoff; Takuya Fujimura; Keisuke Imoto; Jonathan Le Roux; Zheng-Hua Tan; Tomoki Toda (CoRR, 2025)