| Improved training of end-to-end attention models for speech recognition A Zeyer, K Irie, R Schlüter, H Ney arXiv preprint arXiv:1805.03294, 2018 | 23 | 2018 |
| LSTM, GRU, highway and a bit of attention: an empirical overview for language modeling in speech recognition K Irie, Z Tuske, T Alkhouli, R Schluter, H Ney Interspeech, 2016, 3519-3523, 2016 | 18 | 2016 |
| The RWTH/UPB/FORTH system combination for the 4th CHiME challenge evaluation T Menne, J Heymann, A Alexandridis, K Irie, A Zeyer, M Kitza, P Golik, ... CHiME 4, 39-44, 2016 | 17 | 2016 |
| Investigation on log-linear interpolation of multi-domain neural network language model Z Tüske, K Irie, R Schlüter, H Ney Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International …, 2016 | 11 | 2016 |
| On efficient training of word classes and their application to recurrent neural network language models R Botros, K Irie, M Sundermeyer, H Ney Sixteenth Annual Conference of the International Speech Communication …, 2015 | 10 | 2015 |
| Bag-of-words input for long history representation in neural network-based language models for speech recognition K Irie, R Schlüter, H Ney Interspeech, 2015, 2015 | 6 | 2015 |
| The RWTH English lecture recognition system S Wiesler, K Irie, Z Tuske, R Schluter, H Ney Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014 | 4 | 2014 |
| Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition K Irie, P Golik, R Schlüter, H Ney IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017 | 2 | 2017 |
| The 2016 RWTH keyword search system for low-resource languages P Golik, Z Tüske, K Irie, E Beck, R Schlüter, H Ney International Conference on Speech and Computer, 719-730, 2017 | 1 | 2017 |
| RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling K Irie, S Kumar, M Nirschl, H Liao IEEE International Conference on Acoustics, Speech, and Signal Processing …, 0 | 1* | |
| Investigation on Estimation of Sentence Probability By Combining Forward, Backward and Bi-directional LSTM-RNNs K Irie, Z Lei, L Deng, R Schlüter, H Ney Proc. Interspeech 2018, 392-395, 2018 | | 2018 |
| Automatic Speech Recognition Based on Neural Networks R Schlüter, P Doetsch, P Golik, M Kitza, T Menne, K Irie, Z Tüske, A Zeyer International Conference on Speech and Computer, 3-17, 2016 | | 2016 |
| Neuronale Netze in der automatischen Spracherkennung-ein Paradigmenwechsel? R Schlüter, P Doetsch, P Golik, M Kitza, T Menne, K Irie, Z Tüske, A Zeyer | | |
| Prediction of LSTM-RNN Full Context States as a Subtask for N-gram Feedforward Language Models K Irie, Z Lei, R Schlüter, H Ney IEEE International Conference on Acoustics, Speech and Signal Processing …, 0 | | |
