Matthias Zöhrer

According to our database, Matthias Zöhrer authored at least 20 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Acoustic Echo Cancellation with Cross-Domain Learning.

Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

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

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

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

Deep Complex-valued Neural Beamformers.

Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks.

Elmar Messner, Matthias Zöhrer, Franz Pernkopf

IEEE Trans. Biomed. Eng., 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

Towards Efficient Forward Propagation on Resource-Constrained Systems.

Günther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Resource Efficient Deep Eigenvector Beamforming.

Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Franz Pemkopf

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks.

Matthias Zöhrer, Franz Pernkopf

Proceedings of the Interspeech 2017, 2017

Eigenvector-Based Speech Mask Estimation Using Logistic Regression.

Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf

Proceedings of the Interspeech 2017, 2017

DNN-based speech mask estimation for eigenvector beamforming.

Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

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

Proceedings of the Interspeech 2016, 2016

Gated Recurrent Networks applied to Acoustic Scene Classification.

Matthias Zöhrer, Franz Pernkopf

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

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

On representation learning for artificial bandwidth extension.

Matthias Zöhrer, Robert Peharz, Franz Pernkopf

Proceedings of the INTERSPEECH 2015, 2015

Representation models in single channel source separation.

Matthias Zöhrer, Franz Pernkopf

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results.

Lukas Pfeifenberger, Tobias Schrank, Matthias Zöhrer, Martin Hagmüller, Franz Pernkopf

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014

General Stochastic Networks for Classification.

Matthias Zöhrer, Franz Pernkopf

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Single channel source separation with general stochastic networks.

Matthias Zöhrer, Franz Pernkopf

Proceedings of the INTERSPEECH 2014, 2014