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2020 – today
- 2024
[c6]Rene Glitza, Luca Becker, Rainer Martin:
Unsupervised Anomalous Sound Detection Using Loss-Weighted Clustered Federated Pre-Training. MLSP 2024: 1-6- 2023
- [c5]Rene Glitza
, Luca Becker, Alexandru Nelus, Rainer Martin:
Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments. EUSIPCO 2023: 246-250 - 2022
- [c4]Timm Koppelmann, Luca Becker, Alexandru Nelus, Rene Glitza, Lea Schönherr, Rainer Martin:
Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks. INTERSPEECH 2022: 719-723 - [c3]Luca Becker, Alexandru Nelus, Rene Glitza, Rainer Martin:
Accelerated Unsupervised Clustering in Acoustic Sensor Networks Using Federated Learning and a Variational Autoencoder. IWAENC 2022: 1-5 - 2021
- [c2]Alexandru Nelus, Rene Glitza, Rainer Martin:
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments. EUSIPCO 2021: 1115-1119 - [c1]Alexandru Nelus, Rene Glitza, Rainer Martin:
Estimation of Microphone Clusters in Acoustic Sensor Networks Using Unsupervised Federated Learning. ICASSP 2021: 761-765 - [i2]Alexandru Nelus, Rene Glitza, Rainer Martin:
Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning. CoRR abs/2102.03109 (2021) - [i1]Alexandru Nelus, Rene Glitza, Rainer Martin:
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments. CoRR abs/2106.03671 (2021)
Coauthor Index
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