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ORCIDKevin Wilkinghoff
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2020 – today
- 2024
[b1]Kevin Wilkinghoff:
Audio Embeddings for Semi-Supervised Anomalous Sound Detection. University of Bonn, Germany, 2024- [j1]Kevin Wilkinghoff
, Frank Kurth:
Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection? IEEE ACM Trans. Audio Speech Lang. Process. 32: 608-622 (2024) - [c25]Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt:
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting. EUSIPCO 2024: 166-170 - [c24]Kevin Wilkinghoff, Keisuke Imoto:
F1-EV score: Measuring The Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. ICASSP 2024: 256-260 - [c23]Kevin Wilkinghoff:
Self-Supervised Learning for Anomalous Sound Detection. ICASSP 2024: 276-280 - [c22]Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt:
TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping. ICASSP 2024: 9941-9945 - [c21]Fabian Fritz, Alessia Cornaggia-Urrigshardt, Lukas Henneke, Frank Kurth, Kevin Wilkinghoff:
Analyzing the Impact of HF-Specific Signal Degradation on Automatic Speech Recognition. ICMCIS 2024: 1-10 - [c20]Fahrettin Gökgöz, Alessia Cornaggia-Urrigshardt, Kevin Wilkinghoff:
Strong Label Generation for Preparing Speech Data in Military Applications Using CTC Loss. ICMCIS 2024: 1-7 - [i7]Paul M. Baggenstoss, Kevin Wilkinghoff, Felix Govaers, Frank Kurth:
Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs. CoRR abs/2401.11199 (2024) - [i6]Kevin Wilkinghoff:
AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks. CoRR abs/2403.14179 (2024) - [i5]Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt:
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting. CoRR abs/2404.14903 (2024) - 2023
- [c19]Kevin Wilkinghoff, Fabian Fritz:
On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data. EUSIPCO 2023: 186-190 - [c18]Paul M. Baggenstoss, Kevin Wilkinghoff:
Novel Generative Classifier for Acoustic Events. EUSIPCO 2023: 196-200 - [c17]Kevin Wilkinghoff:
Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection. ICASSP 2023: 1-5 - [i4]Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt:
TempAdaCos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping. CoRR abs/2305.10816 (2023) - [i3]Kevin Wilkinghoff, Frank Kurth:
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection? CoRR abs/2309.15643 (2023) - [i2]Kevin Wilkinghoff, Keisuke Imoto:
F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection. CoRR abs/2312.09143 (2023) - [i1]Kevin Wilkinghoff:
Self-Supervised Learning for Anomalous Sound Detection. CoRR abs/2312.09578 (2023) - 2022
- [c16]Alessia Cornaggia-Urrigshardt, Nikita Jarocky, Frank Kurth, Sebastian Urrigshardt, Kevin Wilkinghoff:
SCALA-Speech: An Interactive System for Finding and Analyzing Speech Content in Audio Data. GI-Jahrestagung 2022: 81-90 - [c15]Alessia Cornaggia-Urrigshardt, Fahrettin Gökgöz, Frank Kurth, Hans-Christian Schmitz, Kevin Wilkinghoff:
Speech Recognition Lab. ICMCIS 2022: 218-228 - [c14]Jonas D. Rockbach, Luka-Franziska Bluhm, Isabel Schlangen, Laura Over, Sabine Apfeld, Lukas Henneke, Kevin Wilkinghoff:
Towards Human-Machine Integration for Signals Intelligence Applications. SDF 2022: 1-6 - 2021
- [c13]Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt, Fahrettin Gökgöz:
Two-Dimensional Embeddings for Low-Resource Keyword Spotting Based on Dynamic Time Warping. ITG Conference on Speech Communication 2021: 1-5 - [c12]Kevin Wilkinghoff:
Combining Multiple Distributions based on Sub-Cluster AdaCos for Anomalous Sound Detection under Domain Shifted Conditions. DCASE 2021: 55-59 - [c11]Kevin Wilkinghoff:
Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection. IJCNN 2021: 1-8 - 2020
- [c10]Kevin Wilkinghoff:
Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring. DCASE 2020: 215-219 - [c9]Kevin Wilkinghoff:
On Open-Set Classification with L3-Net Embeddings for Machine Listening Applications. EUSIPCO 2020: 800-804 - [c8]Hans-Christian Schmitz, Frank Kurth, Kevin Wilkinghoff, Uwe Müllerschkowski, Christian Karrasch, Volker Schmid:
Towards Robust Speech Interfaces for the ISS. IUI Companion 2020: 110-111 - [c7]Kevin Wilkinghoff:
On Open-Set Speaker Identification with I-Vectors. Odyssey 2020: 408-414
2010 – 2019
- 2019
- [c6]Kevin Wilkinghoff, Frank Kurth:
Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders. DCASE 2019: 258-262 - 2018
- [c5]Kevin Wilkinghoff:
Accurately Capturing Speech Feature Distributions by Extending Supervectors for Robust Speaker Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c4]Kevin Wilkinghoff, Paul M. Baggenstoss, Alessia Cornaggia-Urrigshardt, Frank Kurth:
Robust Speaker Identification by Fusing Classification Scores with a Neural Network. ITG Symposium on Speech Communication 2018: 1-5 - [c3]Kevin Wilkinghoff:
General-purpose audio tagging by ensembling convolutional neural networks based on multiple features. DCASE 2018: 44-48 - [c2]Frank Kurth, Kevin Wilkinghoff:
Robust Detection of Jittered Multiply Repeating Audio Events Using Iterated Time-Warped ACF. ICASSP 2018: 276-280 - 2017
- [c1]Paul M. Baggenstoss, Kevin Wilkinghoff, Frank Kurth:
Glottal mixture model (GLOMM) for speaker identification on telephone channels. EUSIPCO 2017: 2734-2738
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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