Lars Thieling, M. Sc.
Scientist
Room: 211
+49 241 80-26962
+49 241 80-22254
thieling(at)iks.rwth-aachen.de
Research
- Machine Learning Assisted Audio Processing
- Reconstruction Of Lost Speech Parts (Speech Inpainting)
Teaching
- Exercise Machine Learning for Speech and Audio Processing
- Laboratory Communications Engineering (experiment 2)
- Laboratory MATLAB meets LEGO Mindstorms
- Seminar Selected Topics in Communications Engineering
Publications
Thieling, L. and Jax, P.: Generally Applicable Deep Speech Inpainting Using the Example of Bandwidth Extension, in Proceedings of European Signal Processing Conference (EUSIPCO), Aug. 2021, accepted for publication
Thieling, L., Wilhelm, D. and Jax, P.: Recurrent Phase Reconstruction Using Estimated Phase Derivatives From Deep Neural Networks, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 7088-7092, IEEE, Jun. 2021, 10.1109/ICASSP39728.2021.9413722
Schäfer, M., Thieling, L. and Vollmer, L.: Metrics for the Evaluation of Audio Quality, in Proceedings of German Annual Conference on Acoustics (DAGA), pp. 1390-1393, 2019, ISBN: 978-3-93929-614-0
Liebich, S., Thieling, L., Fabry, J., Jax, P. and Vary, P.: Natural own-voice perception while wearing headphones - Active Occlusion Cancellation with Equalized Hear-Through, in Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, Sep. 2018