Publications

Glitza, R., Becker, L., & Martin, R. (2023). Global vs. Local Federated Learning in Heterogeneous Acoustic Environments. In ITG-Fachbericht: Vol. 312, Speech communication: 15th ITG Conference, 20.-22.09.2023 in Aachen, Germany (pp. 171–175). VDE. https://doi.org/10.30420/456164033

Glitza, R., Becker, L., Nelus, A., & Martin, R. (2023). Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments. In 2023 31st European Signal Processing Conference (EUSIPCO) (pp. 246–250). IEEE. https://doi.org/10.23919/EUSIPCO58844.2023.10290083

Becker, L., Nelus, A., Glitza, R., & Martin, R. (2022). Accelerated Unsupervised Clustering in Acoustic Sensor Networks Using Federated Learning and a Variational Autoencoder. In 2022 International Workshop on Acoustic Signal Processing (IWAENC) (pp. 1-5). https://doi.org/10.1109/IWAENC53105.2022.9914753

Koppelmann, T., Becker, L., Nelus, A., Glitza, R., Schönherr, L., & Martin, R. (2022). Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks. In Interspeech 2022 (pp. 719-723). ISCA. https://doi.org/10.21437/Interspeech.2022-842

Nelus, A., Glitza, R., & Martin, R. (2021). Estimation of Microphone Clusters in Acoustic Sensor Networks Using Unsupervised Federated Learning. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 761–765). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9414186

Nelus, A., Glitza, R., & Martin, R. (2021). Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments. In 2021 29th European Signal Processing Conference (EUSIPCO) (pp. 1115–1119). IEEE. https://doi.org/10.23919/EUSIPCO54536.2021.9615980