Luca Becker, M.Sc.

Ruhr-Universität Bochum
Institut für Kommunikationsakustik
Fakultät für Elektrotechnik und Informationstechnik
Universitätsstr. 150
D-44780 Bochum
Raum: ID/2/255

Email: luca.becker@rub.de
Tel.: +49 234 32 27543

VerÖffentlichungen / Publications

Becker, L., Naame, K., & Martin, R. (2024). Source Signal Capture in Acoustic Sensor Networks based on Robust Beamforming and Source-Related Cluster Estimation. In 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC) (pp. 255–259). IEEE.

Becker, L., Kindt, S., & Martin, R. (2023). Fuzzy-clustering-supported Assignment of Smart-Speaker-based Microphone Arrays to Acoustic Sources in Reverberant Acoustic Environments. In ITG-Fachbericht: Vol. 312, Speech communication: 15th ITG Conference, 20.-22.09.2023 in Aachen, Germany (pp. 230–234). VDE. https://doi.org/10.30420/456164045

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)

Becker, L., Nelus, A., Gauer, J., Rudolph, L., & Martin, R. (2020). Audio Feature Extraction for Vehicle Engine Noise Classification. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 711–715). IEEE. (https://doi.org/10.1109/ICASSP40776.2020.9053117)