Kevin Wilkinghoff

PhD thesis, 2024

Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection?

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Strong Label Generation for Preparing Speech Data in Military Applications Using CTC Loss.

[BibT_eX]

[DOI]

Fahrettin Gökgöz

Proceedings of the International Conference on Military Communication and Information Systems, 2024

Analyzing the Impact of HF-Specific Signal Degradation on Automatic Speech Recognition.

[BibT_eX]

[DOI]

Fabian Fritz

Lukas Henneke

Proceedings of the International Conference on Military Communication and Information Systems, 2024

F1-EV score: Measuring The Likelihood of Estimating a Good Decision Threshold for Semi-Supervised Anomaly Detection.

[BibT_eX]

[DOI]

Keisuke Imoto

Proceedings of the IEEE International Conference on Acoustics, 2024

TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Self-Supervised Learning for Anomalous Sound Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Design Choices for Learning Embeddings from Auxiliary Tasks for Domain Generalization in Anomalous Sound Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.

[BibT_eX]

[DOI]

Fabian Fritz

Proceedings of the 31st European Signal Processing Conference, 2023

Novel Generative Classifier for Acoustic Events.

[BibT_eX]

[DOI]

Paul M. Baggenstoss

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Towards Human-Machine Integration for Signals Intelligence Applications.

[BibT_eX]

[DOI]

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022

Speech Recognition Lab.

[BibT_eX]

[DOI]

Fahrettin Gökgöz

Hans-Christian Schmitz

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.

[BibT_eX]

[DOI]

Nikita Jarocky

Sebastian Urrigshardt

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Fahrettin Gökgöz

Proceedings of the 14th ITG Conference on Speech Communication, online, September 29, 2021

2020

On Open-Set Speaker Identification with I-Vectors.

[BibT_eX]

[DOI]

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Towards Robust Speech Interfaces for the ISS.

[BibT_eX]

[DOI]

Hans-Christian Schmitz

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.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Using Look, Listen, and Learn Embeddings for Detecting Anomalous Sounds in Machine Condition Monitoring.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

General-purpose audio tagging by ensembling convolutional neural networks based on multiple features.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Paul M. Baggenstoss

Proceedings of the 13th ITG Symposium on Speech Communication, 2018

Accurately Capturing Speech Feature Distributions by Extending Supervectors for Robust Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017

Glottal mixture model (GLOMM) for speaker identification on telephone channels.

[BibT_eX]

[DOI]

Paul M. Baggenstoss