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Zoltán Tüske
Zoltán Tüske
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Acoustic modeling with deep neural networks using raw time signal for LVCSR.
Z Tüske, P Golik, R Schlüter, H Ney
INTERSPEECH, 890-894, 2014
2402014
Convolutional Neural Networks for Acoustic Modeling of Raw Time Signal in LVCSR
P Golik, Z Tüske, R Schlüter, H Ney
Sixteenth Annual Conference of the International Speech Communication …, 2015
1432015
Evolutionary stochastic gradient descent for optimization of deep neural networks
X Cui, W Zhang, Z Tüske, M Picheny
Advances in neural information processing systems, 6048-6058, 2018
1152018
Multilingual representations for low resource speech recognition and keyword search
J Cui, B Kingsbury, B Ramabhadran, A Sethy, K Audhkhasi, Z Tüske, ...
ASRU, 259-266, 2015
1122015
RASR - the RWTH Aachen university open source speech recognition toolkit
D Rybach, S Hahn, P Lehnen, D Nolden, M Sundermeyer, Z Tüske, ...
Proc. IEEE Automatic Speech Recognition and Understanding Workshop, 2011
1092011
LSTM, GRU, highway and a bit of attention: an empirical overview for language modeling in speech recognition
K Irie, Z Tüske, T Alkhouli, R Schlüter, H Ney
Interspeech, 3519-3523, 2016
1082016
Advancing RNN transducer technology for speech recognition
G Saon, Z Tüske, D Bolanos, B Kingsbury
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
992021
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Z Tüske, G Saon, K Audhkhasi, B Kingsbury
Interspeech 2020, 2020
782020
Data augmentation, feature combination, and multilingual neural networks to improve ASR and KWS performance for low-resource languages.
Z Tüske, P Golik, D Nolden, R Schlüter, H Ney
INTERSPEECH, 1420-1424, 2014
692014
Improved recognition of spontaneous Hungarian speech—Morphological and acoustic modeling techniques for a less resourced task
P Mihajlik, Z Tüske, B Tarján, B Németh, T Fegyó
Audio, Speech, and Language Processing, IEEE Transactions on 18 (6), 1588-1600, 2010
662010
Lattice decoding and rescoring with long-Span neural network language models.
M Sundermeyer, Z Tüske, R Schlüter, H Ney
INTERSPEECH, 661-665, 2014
572014
Multilingual MRASTA features for low-resource keyword search and speech recognition systems
Z Tüske, D Nolden, R Schlüter, H Ney
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
562014
Alignment-Length Synchronous Decoding for RNN Transducer
G Saon, Z Tüske, K Audhkhasi
ICASSP 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020
552020
Investigation on cross-and multilingual MLP features under matched and mismatched acoustical conditions
Z Tüske, J Pinto, D Willett, R Schlüter
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
552013
Integrating Gaussian mixtures into deep neural networks: softmax layer with hidden variables
Z Tüske, MA Tahir, R Schlüter, H Ney
542015
On the limit of English conversational speech recognition
Z Tüske, G Saon, B Kingsbury
arXiv preprint arXiv:2105.00982, 2021
462021
Context-dependent MLPs for LVCSR: TANDEM, hybrid or both?
Z Tüske, M Sundermeyer, R Schlüter, H Ney
Thirteenth Annual Conference of the International Speech Communication …, 2012
422012
A morpho-graphemic approach for the recognition of spontaneous speech in agglutinative languages-like Hungarian.
P Mihajlik, T Fegyó, Z Tüske, P Ircing
INTERSPEECH, 1497-1500, 2007
392007
Sequence Noise Injected Training for End-to-end Speech Recognition
G Saon, Z Tüske, K Audhkhasi, B Kingsbury
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
382019
Deep hierarchical bottleneck MRASTA features for LVCSR
Z Tüske, R Schlüter, H Ney
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
382013
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