Raum:
ID 2/221
E-Mail
Koppelmann, T., & Martin, R. (2024). Sketching-Based Acoustic Scene Change Detection in Low-Power Embedded Devices. In 2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP) (pp. 1–6). IEEE. https://doi.org/10.1109/MMSP61759.2024.10743833
Koppelmann, T., Agcaer, S., & Martin, R. (2023). Personalized Acoustic Scene Classification in Ultra-low Power Embedded Devices Using Privacy-preserving Data Augmentation. In INTERSPEECH 2023 (pp. 321-325). ISCA. https://doi.org/10.21437/Interspeech.2023-932
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
Koppelmann, T., Nelus, A., Schönherr, L., Kolossa, D., Martin, R. (2021). "Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification". Proc. Interspeech 2021, 876-880. https://doi.org/10.21437/Interspeech.2021-262
Nelus, A., Rech, S., Koppelmann, T., Biermann, H., & Martin, R. (2019). "Privacy-Preserving Siamese Feature Extraction for Gender Recognition versus Speaker Identification". In Interspeech 2019 (pp. 3705-3709). ISCA. https://doi.org/10.21437/Interspeech.2019-1148