Lars Thieling, M. Sc.


Room: 211
+49 241 80-26962
+49 241 80-22254


  • Machine Learning Assisted Audio Processing
  • Reconstruction Of Lost Speech Parts (Speech Inpainting)

Student's Theses


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