Research projects
- Error robust linear predictive filtering
- Delay-free audio coding
- Ultra-low delay audio coding
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Automated object detection and classification system on the maritime environment
- Regions of interest (ROI) and object detection
- Feature extraction and generation
- Classification of objects
- Machine learning
Automated PAM system
Click and echo vocalization detection and extraction
Estimating the number of sperm whale by separating clicks from monaural signals
Publications
C. A. de Obaldia Pastor, G. Simkus, U. Zölzer: Estimating the number of sperm whale (Physeter sp.) individuals based on grouping of corresponding clicks, 41. Deutsche Jahrestagung für Akustik (DAGA 2015), March 2015, Nuremberg, Germany.
G. Simkus, M. Holters, U. Zölzer: Error resilience enhancement for a robust ADPCM audio coding scheme, Proceedings of the 39th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. [Audio Examples]
G. Simkus, M. Holters, U. Zölzer: Error robust delay-free lossy audio coding based on ADPCM, Proceedings of the 16th Int. Conference on Digital Audio Effects (DAFx-13), September 2013, Maynooth, Ireland. [Audio Examples]
G. Simkus, M. Holters, U. Zölzer: Ultra-low latency audio coding based on DPCM and block companding, Proceedings of the 14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services (WIAMIS) 2013, July 2013, Paris, France.
G. Simkus, M. Holters, U. Zölzer: Ultra-low delay lossy audio coding using DPCM and block companded quantization, Australian Communications Theory Workshop (AusCTW) 2013, January 2013, Adelaide, Australia.
Other public presentations
P. Bhattacharya, G. Simkus, C. de Obaldía, A. Kelm, U. Zölzer: Convolutional Neural Networks for Digital Signal Processing, LSA2017 – Lübeck Summer Academy on Medical Technology, July 2017, Lübeck, Germany.
Gediminas Simkus, U. Zölzer: Automated detection and classification of objects in the maritime environment, ATLAS MEETS SCIENCE – science conference, October 2016, Bremen, Germany.
Teaching
Informationstechnisches Projekt (Part 1, 2013)
Supervised student thesis
E. Göksügür, Horizon line detection in maritime Images, Project Work, 2017
R. Aldana, Classification with CNN and exploitation of detection information, Project Work, 2017
F. Peemüller, Segmentierung von Schiffsbildern mittels Merkmalextraktion und Klassifikation, Master Thesis, 2016
L. Fu, Maritime objects classification using Exemplar-SVMs, Student Project Work, 2016
T. Maring, Audio quality and evaluation tool for comparison of predictive audio coding schemes, Master Thesis, 2013
M. Smirnou, Audio coding using BCDPCM with pre- and post-filtering, Project Work, 2013
S. Mosanu, Audio coding using recursively indexed ADPCM, Project Work, 2013
Letzte Änderung: 22. October 2019