Kazuki Irie
Kazuki Irie
Human Language Technology and Pattern Recognition Group, RWTH Aachen University
Verified email at cs.rwth-aachen.de
TitleCited byYear
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
232018
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
182016
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
172016
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
112016
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
102015
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
62015
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
42014
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
22017
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
12017
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
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Articles 1–14