Christian Hümmer



Organisation


Professur für Nachrichtentechnik
Lehrstuhl für Hochfrequenztechnik


Publications (Download BibTeX)

Go to first page Go to previous page 1 of 3 Go to next page Go to last page

Delcroix, M., Kinoshita, K., Ogawa, A., Hümmer, C., & Nakatani, T. (2018). Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(5), 895-908.
Hümmer, C., Hofmann, C., Maas, R., & Kellermann, W. (2018). Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(3), 595-608.
Barfuß, H., Bachmann, M., Hümmer, C., & Kellermann, W. (2018). Exploiting microphone array symmetry for robust two-dimensional polynomial beamforming. (pp. 486-490). Tokyo, JP.
Tran, D., Delcroix, M., Ogawa, A., Hümmer, C., & Nakatani, T. (2017). Feedback Connection for Deep Neural Network-Based Acoustic Modeling. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5240-5244). New Orleans, LA, US.
Hümmer, C., Delcroix, M., Ogawa, A., Kinoshita, K., Nakatani, T., & Kellermann, W. (2017). Online environmental adaptation of CNN-based acoustic models using spatial diffuseness features. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4875-4879). New Orleans, US.
Barfuß, H., Hümmer, C., Schwarz, A., & Kellermann, W. (2017). Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments. Computer Speech and Language, 46(2017), 388 - 400. https://dx.doi.org/10.1016/j.csl.2017.02.005
Hümmer, C., Schwarz, A., Maas, R., Barfuß, H., Astudillo, R.F., & Kellermann, W. (2016). A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5760-5764). Shanghai, CN: Institute of Electrical and Electronics Engineers Inc..
Hofmann, C., Günther, M., Hümmer, C., & Kellermann, W. (2016). Efficient nonlinear acoustic echo cancellation by partitioned-block significance-aware Hammerstein group models. In Proceedings of the European Signal Processing Conf. (EUSIPCO) (pp. 1783-1787). Budapest, HU.
Hofmann, C., Hümmer, C., Günther, M., & Kellermann, W. (2016). Significance-aware filtering for nonlinear acoustic echo cancellation. EURASIP Journal on Advances in Signal Processing, 2016(1), 113. https://dx.doi.org/10.1186/s13634-016-0410-7
Hümmer, C., Stadter, P., & Kellermann, W. (2016). Uncertainty decoding using a sampling strategy based on the eigenvalue decomposition. In VDE (Eds.), Proceedings of the 12th ITG Symposium on Speech Communication (pp. 362-366). Paderborn, DE.

Last updated on 2019-15-03 at 22:54