Follow
Kazuki Irie
Kazuki Irie
The Swiss AI Lab - IDSIA, University of Lugano
Verified email at idsia.ch - Homepage
Title
Cited by
Cited by
Year
Improved training of end-to-end attention models for speech recognition
A Zeyer, K Irie, R Schlüter, H Ney
Interspeech 2018, 2018
2662018
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention--w/o Data Augmentation
C Lüscher, E Beck, K Irie, M Kitza, W Michel, A Zeyer, R Schlüter, H Ney
Interspeech 2019, 2019
2432019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
1612019
Language modeling with deep transformers
K Irie, A Zeyer, R Schlüter, H Ney
Interspeech 2019, 2019
1392019
A Comparison of Transformer and LSTM Encoder Decoder Models for ASR
A Zeyer, P Bahar, K Irie, R Schlüter, H Ney
ASRU 2019, 2019
1282019
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, 2016
842016
Linear transformers are secretly fast weight programmers
I Schlag*, K Irie*, J Schmidhuber
ICML 2021, 2021
77*2021
On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition
K Irie, R Prabhavalkar, A Kannan, A Bruguier, D Rybach, P Nguyen
Interspeech 2019, 2019
66*2019
The devil is in the detail: Simple tricks improve systematic generalization of transformers
R Csordás, K Irie, J Schmidhuber
EMNLP 2021, 2021
542021
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 2016, 2016
452016
Training language models for long-span cross-sentence evaluation
K Irie, A Zeyer, R Schlüter, H Ney
ASRU 2019, 2019
392019
Going beyond linear transformers with recurrent fast weight programmers
K Irie*, I Schlag*, R Csordás, J Schmidhuber
NeurIPS 2021, 2021
382021
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment
W Zhou, W Michel, K Irie, M Kitza, R Schlüter, H Ney
ICASSP 2020, 2020
362020
RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling
K Irie, S Kumar, M Nirschl, H Liao
ICASSP 2018, 2018
292018
On efficient training of word classes and their application to recurrent neural network language models
R Botros, K Irie, M Sundermeyer, H Ney
Interspeech 2016, 2015
202015
Investigation on log-linear interpolation of multi-domain neural network language model
Z Tüske, K Irie, R Schlüter, H Ney
ICASSP 2016, 2016
192016
Prediction of LSTM-RNN Full Context States as a Subtask for N-gram Feedforward Language Models
K Irie, Z Lei, R Schlüter, H Ney
ICASSP 2018, 2018
172018
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
K Irie, I Schlag, R Csordás, J Schmidhuber
ICML 2022, 2022
152022
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
152015
The Neural Data Router: Adaptive control flow in Transformers improves systematic generalization
R Csordás, K Irie, J Schmidhuber
ICLR 2022, 2021
112021
The system can't perform the operation now. Try again later.
Articles 1–20