Evaluation and optimization of noise robust front-end technologies for the automatic recognition of Hungarian telephone speech. - Péter Mihajlik; Zoltán Tobler; Zoltán Tüske; Géza Gordos (INTERSPEECH, 2005)

Robust voice activity detection based on the entropy of noise-suppressed spectrum. - Zoltán Tüske; Péter Mihajlik; Zoltán Tobler; Tibor Fegyó (INTERSPEECH, 2005)

A morpho-graphemic approach for the recognition of spontaneous speech in agglutinative languages - like Hungarian. - Péter Mihajlik; Tibor Fegyó; Zoltán Tüske; Pavel Ircing (INTERSPEECH, 2007)

Towards Automatic Transcription of Large Spoken Archives in Agglutinating Languages - Hungarian ASR for the MALACH Project. - Péter Mihajlik; Tibor Fegyó; Bottyán Németh; Zoltán Tüske; Viktor Trón (TSD, 2007)

Investigation of morph-based speech recognition improvements across speech genres. - Péter Mihajlik; Balázs Tarján; Zoltán Tüske; Tibor Fegyó (INTERSPEECH, 2009)

Improved Recognition of Spontaneous Hungarian Speech - Morphological and Acoustic Modeling Techniques for a Less Resourced Task. - Péter Mihajlik; Zoltán Tüske; Balázs Tarján; Bottyán Németh; Tibor Fegyó (IEEE Trans. Speech Audio Process., 2010)

Non-stationary feature extraction for automatic speech recognition. - Zoltán Tüske; Pavel Golik; Ralf Schlüter; Friedhelm R. Drepper (ICASSP, 2011)

A Study on Speaker Normalized MLP Features in LVCSR. - Zoltán Tüske; Christian Plahl; Ralf Schlüter (INTERSPEECH, 2011)

Comparison and combination of different CRBE based MLP features for LVCSR. - Zoltán Tüske; Ralf Schlüter; Hermann Ney (ICASSP, 2012)

Posterior-Scaled MPE: Novel Discriminative Training Criteria. - Markus Nußbaum-Thom; Zoltán Tüske; Georg Heigold; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2012)

Non-stationary signal processing and its application in speech recognition. - Zoltán Tüske; Friedhelm R. Drepper; Ralf Schlüter (SAPA@INTERSPEECH, 2012)

Context-Dependent MLPs for LVCSR: TANDEM, Hybrid or Both? - Zoltán Tüske; Ralf Schlüter; Hermann Ney; Martin Sundermeyer (INTERSPEECH, 2012)

Phase difference of filter-stable part-tones as acoustic feature. - Zoltán Tüske; Friedhelm R. Drepper; Ralf Schlüter (SSP, 2012)

Investigation on cross- and multilingual MLP features under matched and mismatched acoustical conditions. - Zoltán Tüske; Joel Pinto; Daniel Willett; Ralf Schlüter (ICASSP, 2013)

Deep hierarchical bottleneck MRASTA features for LVCSR. - Zoltán Tüske; Ralf Schlüter; Hermann Ney (ICASSP, 2013)

Development of the RWTH transcription system for slovenian. - Pavel Golik; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2013)

Multilingual hierarchical MRASTA features for ASR. - Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2013)

The RWTH Aachen German and English LVCSR systems for IWSLT-2013. - M. Ali Basha Shaik; Zoltán Tüske; Simon Wiesler; Markus Nußbaum-Thom; Stephan Peitz; Ralf Schlüter; Hermann Ney (IWSLT (Evaluation Campaign), 2013)

Multilingual MRASTA features for low-resource keyword search and speech recognition systems. - Zoltán Tüske; David Nolden; Ralf Schlüter; Hermann Ney (ICASSP, 2014)

The RWTH English lecture recognition system. - Simon Wiesler; Kazuki Irie; Zoltán Tüske; Ralf Schlüter; Hermann Ney (ICASSP, 2014)

RWTH LVCSR systems for quaero and EU-bridge: German, Polish, Spanish and Portuguese. - M. Ali Basha Shaik; Zoltán Tüske; Muhammad Ali Tahir; Markus Nußbaum-Thom; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Lattice decoding and rescoring with long-Span neural network language models. - Martin Sundermeyer; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Data augmentation, feature combination, and multilingual neural networks to improve ASR and KWS performance for low-resource languages. - Zoltán Tüske; Pavel Golik; David Nolden; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Acoustic modeling with deep neural networks using raw time signal for LVCSR. - Zoltán Tüske; Pavel Golik; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2014)

Multilingual representations for low resource speech recognition and keyword search. - Jia Cui; Brian Kingsbury; Bhuvana Ramabhadran; Abhinav Sethy; Kartik Audhkhasi; Xiaodong Cui; Ellen Kislal; Lidia Mangu; Markus Nußbaum-Thom; Michael Picheny; Zoltán Tüske; Pavel Golik; et al. (ASRU, 2015)

Speaker adaptive joint training of Gaussian mixture models and bottleneck features. - Zoltán Tüske; Pavel Golik; Ralf Schlüter; Hermann Ney (ASRU, 2015)

Integrating Gaussian mixtures into deep neural networks: Softmax layer with hidden variables. - Zoltán Tüske; Muhammad Ali Tahir; Ralf Schlüter; Hermann Ney (ICASSP, 2015)

Convolutional neural networks for acoustic modeling of raw time signal in LVCSR. - Pavel Golik; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2015)

Multilingual features based keyword search for very low-resource languages. - Pavel Golik; Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2015)

Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, urdu, and Arabic. - M. Ali Basha Shaik; Zoltán Tüske; Muhammad Ali Tahir; Markus Nußbaum-Thom; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2015)

Investigation on log-linear interpolation of multi-domain neural network language model. - Zoltán Tüske; Kazuki Irie; Ralf Schlüter; Hermann Ney (ICASSP, 2016)

LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition. - Kazuki Irie; Zoltán Tüske; Tamer Alkhouli; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2016)

The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task. - Wilfried Michel; Zoltán Tüske; M. Ali Basha Shaik; Ralf Schlüter; Hermann Ney (IWSLT, 2016)

Automatic Speech Recognition Based on Neural Networks. - Ralf Schlüter; Patrick Doetsch; Pavel Golik; Markus Kitza; Tobias Menne; Kazuki Irie; Zoltán Tüske; Albert Zeyer (SPECOM, 2016)

Parallel Neural Network Features for Improved Tandem Acoustic Modeling. - Zoltán Tüske; Wilfried Michel; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2017)

The 2016 RWTH Keyword Search System for Low-Resource Languages. - Pavel Golik; Zoltán Tüske; Kazuki Irie; Eugen Beck; Ralf Schlüter; Hermann Ney (SPECOM, 2017)

Acoustic Modeling of Speech Waveform Based on Multi-Resolution, Neural Network Signal Processing. - Zoltán Tüske; Ralf Schlüter; Hermann Ney (ICASSP, 2018)

Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition. - Zoltán Tüske; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2018)

Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. - Xiaodong Cui; Wei Zhang 022; Zoltán Tüske; Michael Picheny (NeurIPS, 2018)

Semi-Supervised Training and Data Augmentation for Adaptation of Automatic Broadcast News Captioning Systems. - Yinghui Huang; Samuel Thomas 001; Masayuki Suzuki; Zoltán Tüske; Larry Sansone; Michael Picheny (ASRU, 2019)

Simplified LSTMS for Speech Recognition. - George Saon; Zoltán Tüske; Kartik Audhkhasi; Brian Kingsbury; Michael Picheny; Samuel Thomas 001 (ASRU, 2019)

Sequence Noise Injected Training for End-to-end Speech Recognition. - George Saon; Zoltán Tüske; Kartik Audhkhasi; Brian Kingsbury (ICASSP, 2019)

English Broadcast News Speech Recognition by Humans and Machines. - Samuel Thomas 001; Masayuki Suzuki; Yinghui Huang; Gakuto Kurata; Zoltán Tüske; George Saon; Brian Kingsbury; Michael Picheny; Tom Dibert; Alice Kaiser-Schatzlein; Bern Samko (ICASSP, 2019)

Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition. - Kartik Audhkhasi; George Saon; Zoltán Tüske; Brian Kingsbury; Michael Picheny (INTERSPEECH, 2019)

Challenging the Boundaries of Speech Recognition: The MALACH Corpus. - Michael Picheny; Zoltán Tüske; Brian Kingsbury; Kartik Audhkhasi; Xiaodong Cui; George Saon (INTERSPEECH, 2019)

Detection and Recovery of OOVs for Improved English Broadcast News Captioning. - Samuel Thomas 001; Kartik Audhkhasi; Zoltán Tüske; Yinghui Huang; Michael Picheny (INTERSPEECH, 2019)

Advancing Sequence-to-Sequence Based Speech Recognition. - Zoltán Tüske; Kartik Audhkhasi; George Saon (INTERSPEECH, 2019)

Alignment-Length Synchronous Decoding for RNN Transducer. - George Saon; Zoltán Tüske; Kartik Audhkhasi (ICASSP, 2020)

End-to-End Spoken Language Understanding Without Full Transcripts. - Hong-Kwang Jeff Kuo; Zoltán Tüske; Samuel Thomas 001; Yinghui Huang; Kartik Audhkhasi; Brian Kingsbury; Gakuto Kurata; Zvi Kons; Ron Hoory; Luis A. Lastras (INTERSPEECH, 2020)

Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard. - Zoltán Tüske; George Saon; Kartik Audhkhasi; Brian Kingsbury (INTERSPEECH, 2020)

Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. - Zoltán Tüske; George Saon; Kartik Audhkhasi; Brian Kingsbury (CoRR, 2020)

Discriminative feature modeling for statistical speech recognition. - Zoltán Tüske (2020)

RNN Transducer Models for Spoken Language Understanding. - Samuel Thomas 001; Hong-Kwang Jeff Kuo; George Saon; Zoltán Tüske; Brian Kingsbury; Gakuto Kurata; Zvi Kons; Ron Hoory (ICASSP, 2021)

End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features. - Edmilson da Silva Morais; Hong-Kwang Jeff Kuo; Samuel Thomas 001; Zoltán Tüske; Brian Kingsbury (ICASSP, 2021)

Advancing RNN Transducer Technology for Speech Recognition. - George Saon; Zoltán Tüske; Daniel Bolaños; Brian Kingsbury (ICASSP, 2021)

Reducing Exposure Bias in Training Recurrent Neural Network Transducers. - Xiaodong Cui; Brian Kingsbury; George Saon; David Haws; Zoltán Tüske (Interspeech, 2021)

4-Bit Quantization of LSTM-Based Speech Recognition Models. - Andrea Fasoli; Chia-Yu Chen; Mauricio J. Serrano; Xiao Sun 013; Naigang Wang; Swagath Venkataramani; George Saon; Xiaodong Cui; Brian Kingsbury; Wei Zhang 022; Zoltán Tüske; Kailash Gopalakrishnan (Interspeech, 2021)

Integrating Dialog History into End-to-End Spoken Language Understanding Systems. - Jatin Ganhotra; Samuel Thomas 001; Hong-Kwang Jeff Kuo; Sachindra Joshi; George Saon; Zoltán Tüske; Brian Kingsbury (Interspeech, 2021)

Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. - Gakuto Kurata; George Saon; Brian Kingsbury; David Haws; Zoltán Tüske (Interspeech, 2021)

On the Limit of English Conversational Speech Recognition. - Zoltán Tüske; George Saon; Brian Kingsbury (Interspeech, 2021)

Improving End-to-end Models for Set Prediction in Spoken Language Understanding. - Hong-Kwang Jeff Kuo; Zoltán Tüske; Samuel Thomas 001; Brian Kingsbury; George Saon (ICASSP, 2022)

Speech Translation with Style: AppTek's Submissions to the IWSLT Subtitling and Formality Tracks in 2023. - Parnia Bahar; Patrick Wilken; Javier Iranzo-Sánchez; Mattia Di Gangi; Evgeny Matusov; Zoltán Tüske (IWSLT@ACL, 2023)

Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR. - Jintao Jiang; Yingbo Gao; Zoltán Tüske (CoRR, 2023)

SADA: Saudi Audio Dataset for Arabic. - Sadeen Alharbi; Areeb Alowisheq; Zoltán Tüske; Kareem Darwish; Abdullah Alrajeh; Abdulmajeed Alrowithi; Aljawharah Bin Tamran; Asma Ibrahim; Raghad Aloraini; Raneem Alnajim; Ranya Alkahtani; Renad Almuasaad; et al. (ICASSP, 2024)

Alternating Weak Triphone/BPE Alignment Supervision from Hybrid Model Improves End-to-End ASR. - Jintao Jiang; Yingbo Gao; Mohammad Zeineldeen; Zoltán Tüske (CoRR, 2024)