Single channel source separation with general stochastic networks. - Matthias Zöhrer; Franz Pernkopf (INTERSPEECH, 2014)

General Stochastic Networks for Classification. - Matthias Zöhrer; Franz Pernkopf (NIPS, 2014)

Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results. - Lukas Pfeifenberger; Tobias Schrank; Matthias Zöhrer; Martin Hagmüller; Franz Pernkopf (ASRU, 2015)

Representation models in single channel source separation. - Matthias Zöhrer; Franz Pernkopf (ICASSP, 2015)

On representation learning for artificial bandwidth extension. - Matthias Zöhrer; Robert Peharz; Franz Pernkopf (INTERSPEECH, 2015)

Representation Learning for Single-Channel Source Separation and Bandwidth Extension. - Matthias Zöhrer; Robert Peharz; Franz Pernkopf (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Gated Recurrent Networks applied to Acoustic Scene Classification. - Matthias Zöhrer; Franz Pernkopf (DCASE, 2016)

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. - Florian B. Pokorny; Robert Peharz; Wolfgang Roth; Matthias Zöhrer; Franz Pernkopf; Peter B. Marschik; Björn W. Schuller (INTERSPEECH, 2016)

DNN-based speech mask estimation for eigenvector beamforming. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (ICASSP, 2017)

Eigenvector-Based Speech Mask Estimation Using Logistic Regression. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (INTERSPEECH, 2017)

Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. - Matthias Zöhrer; Franz Pernkopf (INTERSPEECH, 2017)

Resource Efficient Deep Eigenvector Beamforming. - Matthias Zöhrer; Lukas Pfeifenberger; Günther Schindler; Holger Fröning; Franz Pemkopf (ICASSP, 2018)

Towards Efficient Forward Propagation on Resource-Constrained Systems. - Günther Schindler; Matthias Zöhrer; Franz Pernkopf; Holger Fröning (ECML/PKDD (1), 2018)

Efficient and Robust Machine Learning for Real-World Systems. - Franz Pernkopf; Wolfgang Roth; Matthias Zöhrer; Lukas Pfeifenberger; Günther Schindler; Holger Fröning; Sebastian Tschiatschek; Robert Peharz; Matthew Mattina; Zoubin Ghahramani (CoRR, 2018)

Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks. - Elmar Messner; Matthias Zöhrer; Franz Pernkopf (IEEE Trans. Biomed. Eng., 2018)

Deep Complex-valued Neural Beamformers. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (ICASSP, 2019)

Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Resource-Efficient Neural Networks for Embedded Systems. - Wolfgang Roth; Günther Schindler; Matthias Zöhrer; Lukas Pfeifenberger; Robert Peharz; Sebastian Tschiatschek; Holger Fröning; Franz Pernkopf; Zoubin Ghahramani (CoRR, 2020)

Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. - Lukas Pfeifenberger; Matthias Zöhrer; Günther Schindler; Wolfgang Roth; Holger Fröning; Franz Pernkopf (CoRR, 2020)

Acoustic Echo Cancellation with Cross-Domain Learning. - Lukas Pfeifenberger; Matthias Zöhrer; Franz Pernkopf (Interspeech, 2021)