Kevin Wilkinghoff

Orcid: 0000-0003-4200-9129

According to our database1, Kevin Wilkinghoff authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection?
IEEE ACM Trans. Audio Speech Lang. Process., 2024

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

Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs.
CoRR, 2024

2023
Self-Supervised Learning for Anomalous Sound Detection.
CoRR, 2023

F1-EV Score: Measuring the Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection.
CoRR, 2023

TempAdaCos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping.
CoRR, 2023

Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.
Proceedings of the 31st European Signal Processing Conference, 2023

Novel Generative Classifier for Acoustic Events.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Towards Human-Machine Integration for Signals Intelligence Applications.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022

Speech Recognition Lab.
Proceedings of the International Conference on Military Communication and Information Systems, 2022

SCALA-Speech: An Interactive System for Finding and Analyzing Speech Content in Audio Data.
Proceedings of the 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26., 2022

2021
Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

Combining Multiple Distributions based on Sub-Cluster AdaCos for Anomalous Sound Detection under Domain Shifted Conditions.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

Two-Dimensional Embeddings for Low-Resource Keyword Spotting Based on Dynamic Time Warping.
Proceedings of the 14th ITG Conference on Speech Communication, online, September 29, 2021

2020
On Open-Set Speaker Identification with I-Vectors.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Towards Robust Speech Interfaces for the ISS.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

On Open-Set Classification with L3-Net Embeddings for Machine Listening Applications.
Proceedings of the 28th European Signal Processing Conference, 2020

Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
Open-Set Acoustic Scene Classification with Deep Convolutional Autoencoders.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018
Robust Detection of Jittered Multiply Repeating Audio Events Using Iterated Time-Warped ACF.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

General-purpose audio tagging by ensembling convolutional neural networks based on multiple features.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

Robust Speaker Identification by Fusing Classification Scores with a Neural Network.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018

Accurately Capturing Speech Feature Distributions by Extending Supervectors for Robust Speaker Recognition.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017
Glottal mixture model (GLOMM) for speaker identification on telephone channels.
Proceedings of the 25th European Signal Processing Conference, 2017


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