Heart sound segmentation—An event detection approach using deep recurrent neural networks E Messner, M Zöhrer, F Pernkopf IEEE transactions on biomedical engineering 65 (9), 1964-1974, 2018 | 117 | 2018 |
DNN-based speech mask estimation for eigenvector beamforming L Pfeifenberger, M Zöhrer, F Pernkopf 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 53 | 2017 |
Gated recurrent networks applied to acoustic scene classification and acoustic event detection M Zöhrer, F Pernkopf Detection and Classification of Acoustic Scenes and Events 2016, 2016 | 53 | 2016 |
Resource-efficient neural networks for embedded systems W Roth, G Schindler, B Klein, R Peharz, S Tschiatschek, H Fröning, ... Journal of Machine Learning Research 25 (50), 1-51, 2024 | 48 | 2024 |
General stochastic networks for classification M Zöhrer, F Pernkopf Advances in Neural Information Processing Systems 27, 2014 | 31 | 2014 |
Representation learning for single-channel source separation and bandwidth extension M Zöhrer, R Peharz, F Pernkopf IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015 | 27 | 2015 |
Eigenvector-based speech mask estimation for multi-channel speech enhancement L Pfeifenberger, M Zöhrer, F Pernkopf IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 24 | 2019 |
Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results L Pfeifenberger, T Schrank, M Zohrer, M Hagmüller, F Pernkopf 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 18 | 2015 |
Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. M Zöhrer, F Pernkopf Interspeech, 493-497, 2017 | 16 | 2017 |
Deep complex-valued neural beamformers L Pfeifenberger, M Zöhrer, F Pernkopf ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 14 | 2019 |
Acoustic Echo Cancellation with Cross-Domain Learning. L Pfeifenberger, M Zoehrer, F Pernkopf Interspeech, 4753-4757, 2021 | 13 | 2021 |
Manual versus automated: The challenging routine of infant vocalisation segmentation in home videos to study neuro (mal) development FB Pokorny, R Peharz, W Roth, M Zöhrer, F Pernkopf, PB Marschik, ... | 12 | 2016 |
Deep beamforming and data augmentation for robust speech recognition: Results of the 4th CHiME challenge T Schrank, L Pfeifenberger, M Zöhrer, J Stahl, P Mowlaee, F Pernkopf Proc. CHiME, 18-20, 2016 | 10 | 2016 |
Resource efficient deep eigenvector beamforming M Zohrer, L Pfeifenberger, G Schindler, H Froning, F Pemkopf 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 8 | 2018 |
Eigenvector-Based Speech Mask Estimation Using Logistic Regression. L Pfeifenberger, M Zöhrer, F Pernkopf Interspeech, 2660-2664, 2017 | 8 | 2017 |
Single channel source separation with general stochastic networks M Zöhrer, F Pernkopf Fifteenth Annual Conference of the International Speech Communication …, 2014 | 8 | 2014 |
Towards efficient forward propagation on resource-constrained systems G Schindler, M Zöhrer, F Pernkopf, H Fröning Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 7 | 2019 |
Representation models in single channel source separation M Zöhrer, F Pernkopf 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 6 | 2015 |
On representation learning for artificial bandwidth extension M Zöhrer, R Peharz, F Pernkopf Sixteenth Annual Conference of the International Speech Communication …, 2015 | 4 | 2015 |
Efficient and robust machine learning for real-world systems F Pernkopf, W Roth, M Zoehrer, L Pfeifenberger, G Schindler, H Froening, ... arXiv preprint arXiv:1812.02240, 2018 | 2 | 2018 |