Personal
Welcome to the homepage of Tobias Menne.
I received my Masters Degree in Electrical Engineering from RWTH Aachen University in 2015.
Currently I am PhD student at the Human Language Technology and Pattern Recognition Group
at the RWTH Aachen University.
The research topics
of the chair are:
- Pattern recognition
- Human language technology
- Automatic speech recognition
- Machine translation
- Image recognition
My personal research interests include
- Noise robust automatic speech recognition
- Far field and multi-channel speech recognition
- Neural networks for signal processing
You can find me in room 6113 of building E2.
Telephone: +49 241 80-21634. E-Mail: <surname>@cs.rwth-aachen.de
Short CV
List of Publications
Full list of publications
of the chair.
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T. Menne, I. Sklyar, R. Schlüter, and H. Ney. Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. In Interspeech, pages 2638-2642, Graz, Austria, September 2019.
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T. Menne, R. Schlüter, and H. Ney. Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 6660-6664, Brighton, UK, May 2019.
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T. Menne, R. Schlüter, and H. Ney. Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition. In International Workshop On Spoken Language Technology (SLT), pages 535-541, Athens, Greece, December 2018.
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M. Kitza, W. Michel, C. Boeddeker, J. Heitkaemper, T. Menne, R. Schlüter, H. Ney, J. Schmalenstroeer, L. Drude, J. Heymann, and R. Haeb-Umbach. The RWTH/UPB System Combination for the CHiME 2018 Workshop. In The 5th International Workshop on Speech Processing in Everyday Environments (CHiME-5), pages 53-57, Hyderabat, India, September 2018.
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R. Schlüter, P. Doetsch, P. Golik, M. Kitza, T. Menne, K. Irie, Z. Tüske, and A. Zeyer. Neuronale Netze in der automatischen Spracherkennung - ein Paradigmenwechsel?. In 44. Jahrestagung für Akustik der Deutschen Gesellschaft für Akustik, pages 15-28, Munich, Germany, March 2018.
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T. Menne, Z. Tüske, R. Schlüter, and H. Ney. Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition. In 44. Jahrestagung für Akustik der Deutschen Gesellschaft für Akustik, pages 1533-1536, Munich, Germany, March 2018.
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T. Menne, J. Heymann, A. Alexandridis, K. Irie, A. Zeyer, M. Kitza, P. Golik, I. Kulikov, L. Drude, R. Schlüter, H. Ney, R. Haeb-Umbach, and A. Mouchtaris. The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In The 4th International Workshop on Speech Processing in Everyday Environments, pages 39-44, San Francisco, CA, USA, September 2016.
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R. Schlüter, P. Doetsch, P. Golik, M. Kitza, T. Menne, K. Irie, Z. Tüske, and A. Zeyer. Automatic Speech Recognition Based on Neural Networks. In International Conference Speech and Computer (SPECOM), Lecture Notes in Computer Science, Subseries Lecture Notes in Artificial Intelligence, volume 9811, pages 3-17, Budapest, Hungary, August 2016.
