Zoltán Tüske
Zoltán Tüske
IBM Research AI
Verified email at ibm.com
Title
Cited by
Cited by
Year
Acoustic modeling with deep neural networks using raw time signal for LVCSR.
Z Tüske, P Golik, R Schlüter, H Ney
INTERSPEECH, 890-894, 2014
1932014
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
1112015
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
902011
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
852015
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
682016
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
582010
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
542014
Lattice decoding and rescoring with long-Span neural network language models.
M Sundermeyer, Z Tüske, R Schlüter, H Ney
INTERSPEECH, 661-665, 2014
502014
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
502013
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
432014
Integrating Gaussian mixtures into deep neural networks: softmax layer with hidden variables
Z Tüske, MA Tahir, R Schlüter, H Ney
412015
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
392018
Deep hierarchical bottleneck MRASTA features for LVCSR
Z Tüske, R Schlüter, H Ney
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013
382013
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
382012
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
362007
Multilingual hierarchical MRASTA features for ASR
Z Tüske, R Schlüter, H Ney
INTERSPEECH, 2222-2226, 2013
332013
Robust voice activity detection based on the entropy of noise-suppressed spectrum
Z Tüske, P Mihajlik, Z Tobler, T Fegyó
Interspeech, 245-248, 2005
312005
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
272020
Advancing Sequence-to-Sequence Based Speech Recognition
Z Tüske, K Audhkhasi, G Saon
Proc. Interspeech 2019, 3780-3784, 2019
262019
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition.
Z Tüske, R Schlüter, H Ney
Interspeech, 3358-3362, 2018
232018
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Articles 1–20