Albert Zeyer

Cited by

	All	Since 2016
Citations	840	837
h-index	14	14
i10-index	16	16

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20162017201820192020202114 54 110 221 392 46

Co-authors

Hermann NeyRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Ralf SchlüterHuman Language Technology and Pattern Recognition, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Kazuki IrieThe Swiss AI Lab - IDSIA, Università della Svizzera italiana (USI) & SUPSIVerified email at idsia.ch
Patrick DoetschRWTH AachenVerified email at apptek.com
Parnia BaharPhD Student, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Eugen BeckRWTH AachenVerified email at i6.informatik.rwth-aachen.de
Paul VoigtlaenderRWTH AachenVerified email at vision.rwth-aachen.de
Ilia KulikovNew York UniversityVerified email at cs.nyu.edu
André MerboldtRWTH Aachen UniversityVerified email at rwth-aachen.de
Pavel GolikVerified email at cs.rwth-aachen.de
Tobias MenneApplied Scientist @ AmazonVerified email at amazon.com
Wilfried MichelPhD Student, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Christoph M. LüscherGraduate Student, Human Language Technology and Pattern Recognition Group, RWTH Aachen UniversityVerified email at hltpr.rwth-aachen.de
Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornVerified email at nt.uni-paderborn.de
Jahn HeymannApplied Scientist @ AmazonVerified email at amazon.com
Tamer AlkhouliMachine Learning Scientist, AppTekVerified email at cs.rwth-aachen.de
Athanasios MouchtarisAssociate Professor of Computer Science, University of Crete, and FORTH-ICSVerified email at csd.uoc.gr
Anastasios AlexandridisFORTH-ICS, University of CreteVerified email at ics.forth.gr
Nick RossenbachPh.D. Student in Computer Science at RWTH AachenVerified email at sounddesign.com
Zoltán TüskeIBM Research AIVerified email at ibm.com

Albert Zeyer

Human Language Technology and Pattern Recognition Group, RWTH Aachen University

Verified email at cs.rwth-aachen.de - Homepage

Deep Learning


Title Sort by citations Sort by year Sort by 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 Proc. Interspeech 2018, 7-11, 2018	185	2018
A comprehensive study of deep bidirectional LSTM RNNs for acoustic modeling in speech recognition A Zeyer, P Doetsch, P Voigtlaender, R Schlüter, H Ney 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017	134	2017
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 arXiv preprint arXiv:1905.03072, 2019	118	2019
RETURNN: The RWTH extensible training framework for universal recurrent neural networks P Doetsch, A Zeyer, P Voigtlaender, I Kulikov, R Schlüter, H Ney 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017	60	2017
Language modeling with deep transformers K Irie, A Zeyer, R Schlüter, H Ney arXiv preprint arXiv:1905.04226, 2019	52	2019
RETURNN as a generic flexible neural toolkit with application to translation and speech recognition A Zeyer, T Alkhouli, H Ney arXiv preprint arXiv:1805.05225, 2018	46	2018
Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models A Zeyer, R Schlüter, H Ney Interspeech, 3424-3428, 2016	36	2016
A comparison of Transformer and LSTM encoder decoder models for ASR A Zeyer, P Bahar, K Irie, R Schlüter, H Ney IEEE Automatic Speech Recognition and Understanding Workshop, Sentosa, Singapore, 2019	34	2019
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, ... Universitätsbibliothek der RWTH Aachen, 2016	30	2016
CTC in the Context of Generalized Full-Sum HMM Training A Zeyer, E Beck, R Schlüter, H Ney INTERSPEECH, 944-948, 2017	23	2017
Bidirectional decoder networks for attention-based end-to-end offline handwriting recognition P Doetsch, A Zeyer, H Ney 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016	19	2016
Training language models for long-span cross-sentence evaluation K Irie, A Zeyer, R Schlüter, H Ney 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019	15	2019
On using specaugment for end-to-end speech translation P Bahar, A Zeyer, R Schlüter, H Ney arXiv preprint arXiv:1911.08876, 2019	14	2019
A comprehensive analysis on attention models A Zeyer, A Merboldt, R Schlüter, H Ney Universitätsbibliothek der RWTH Aachen, 2019	14	2019
Generating synthetic audio data for attention-based speech recognition systems N Rossenbach, A Zeyer, R Schlüter, H Ney ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	13	2020
Neural speech translation at apptek E Matusov, P Wilken, P Bahar, J Schamper, P Golik, A Zeyer, ... Proceedings of the 15th International Workshop on Spoken Language …, 2018	10	2018
An Analysis of Local Monotonic Attention Variants. A Merboldt, A Zeyer, R Schlüter, H Ney INTERSPEECH, 1398-1402, 2019	9	2019
On using 2d sequence-to-sequence models for speech recognition P Bahar, A Zeyer, R Schlüter, H Ney ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	6	2019
A new training pipeline for an improved neural transducer A Zeyer, A Merboldt, R Schlüter, H Ney arXiv preprint arXiv:2005.09319, 2020	5	2020
Robust online multi-channel speech recognition M Kitza, A Zeyer, R Schlüter, J Heymann, R Haeb-Umbach Speech Communication; 12. ITG Symposium, 1-5, 2016	4	2016

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