Alexander Schmidt



Organisation


Professur für Nachrichtentechnik


Publications (Download BibTeX)


Haubner, T., Schmidt, A., & Kellermann, W. (2019). Active Acoustic Source Tracking Exploiting Particle Filtering and Monte Carlo Tree Search. In Proceedings of the 27th European Signal Processing Conference, EUSIPCO 2019. A Coruña, ES.
Briegleb, A., Schmidt, A., & Kellermann, W. (2019). Deep Clustering for single-channel ego-noise suppression. In Proceedings of the International Congress on Acoustics. Aachen, DE.
Forster, L., Schmidt, A., Talmon, R., Kellermann, W., & Shnitzer, T. (2019). Diffusion maps particle filter. In Proceedings of the 27th European Signal Processing Conference (EUSIPCO). A Coruña, ES.
Schmidt, A., & Kellermann, W. (2019). Informed ego-noise suppression using motor data-driven dictionaries. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 116-120). Brighton.
Schmidt, A., Löllmann, H., & Kellermann, W. (2018). A novel ego-noise suppression algorithm for acoustic signal enhancement in autonomous systems. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6583-6587). Calgary, CA.
Deleforge, A., Schmidt, A., & Kellermann, W. (2018). Audio-motor integration for robot audition. In Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe (Eds.), Multimodal Behavior Analysis in the Wild. (pp. 27-52). London: Academic Press.
Evers, C., Löllmann, H., Mellmann, H., Schmidt, A., Barfuß, H., Naylor, P., & Kellermann, W. (2018). LOCATA Challenge - Evaluation and Measures. In Proceedings of the International Workshop on Acoustic Signal Enhancement (IWAENC) (pp. 565-569). Tokyo, JP.
Haubner, T., Schmidt, A., & Kellermann, W. (2018). Multichannel nonnegative matrix factorization for ego-noise suppression. In Proceedings of the ITG Conference on Speech Communication (pp. 136-140). Oldenburg, DE.
Löllmann, H., Evers, C., Schmidt, A., Mellmann, H., Barfuß, H., Naylor, P.A., & Kellermann, W. (2018). The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking. In IEEE Signal Processing Society (Eds.), Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) (pp. 1-5). Sheffield, GB.
Schmidt, A., Deleforge, A., & Kellermann, W. (2016). Ego-noise reduction using a motor data-guided multichannel dictionary. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1281-1286). Daejon, KR.

Last updated on 2017-20-05 at 05:13