| Cross-Entropy vs. Squared Error Training: a Theoretical and Experimental Comparison P Golik, P Doetsch, H Ney Interspeech, 1756-1760, 2013 | 341 | 2013 |
| Acoustic Modeling with Deep Neural Networks Using Raw Time Signal for LVCSR Z Tüske, P Golik, R Schlüter, H Ney Interspeech, 890-894, 2014 | 234 | 2014 |
| Convolutional Neural Networks for Acoustic Modeling of Raw Time Signal in LVCSR P Golik, Z Tüske, R Schlüter, H Ney Interspeech, 26-30, 2015 | 137 | 2015 |
| Multilingual Representations for Low Resource Speech Recognition and Keyword Search J Cui, B Kingsbury, B Ramabhadran, A Sethy, K Audhkhasi, Z Tüske, ... IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 259-266, 2015 | 109 | 2015 |
| 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 | 62 | 2014 |
| RASR/NN: The RWTH Neural Network Toolkit for Speech Recognition S Wiesler, A Richard, P Golik, R Schlüter, H Ney IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 3281-3285, 2014 | 61 | 2014 |
| 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, ... The 4th International Workshop on Speech Processing in Everyday Environments, 2016 | 50 | 2016 |
| Logistic Model Trees with AUC Split Criterion for the KDD Cup 2009 Small Challenge. P Doetsch, C Buck, P Golik, N Hoppe, M Kramp, J Laudenberg, ... Journal of Machine Learning Research 7, 77-88, 2009 | 43 | 2009 |
| Cumulative Adaptation for BLSTM Acoustic Models M Kitza, P Golik, R Schlüter, H Ney Interspeech, 754-758, 2019 | 35 | 2019 |
| Speaker Adaptive Joint Training of Gaussian Mixture Models and Bottleneck Features Z Tüske, P Golik, R Schlüter, H Ney IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 596-603, 2015 | 29 | 2015 |
| Start-before-end and End-to-end: Neural Speech Translation by AppTek and RWTH Aachen University P Bahar, P Wilken, T Alkhouli, A Guta, P Golik, E Matusov, C Herold IWSLT 2020, 44-54, 2020 | 27 | 2020 |
| How Might We Create Better Benchmarks for Speech Recognition? A Aksenova, D van Esch, J Flynn, P Golik ACL-IJCNLP Workshop on Benchmarking: Past, Present and Future, 22--34, 2021 | 26 | 2021 |
| Non-stationary feature extraction for automatic speech recognition Z Tuske, P Golik, R Schluter, FR Drepper IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 5204-5207, 2011 | 23 | 2011 |
| Multilingual Features Based Keyword Search for Very Low-Resource Languages P Golik, Z Tüske, R Schlüter, H Ney Interspeech, 1260-1264, 2015 | 21 | 2015 |
| A comprehensive study of batch construction strategies for recurrent neural networks in MXNet P Doetsch, P Golik, H Ney https://arxiv.org/abs/1705.02414, 2017 | 19 | 2017 |
| Investigations on Sequence Training of Neural Networks S Wiesler, P Golik, R Schlueter, H Ney IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2015 | 17 | 2015 |
| Neural Speech Translation at AppTek E Matusov, P Wilken, P Bahar, J Schamper, P Golik, A Zeyer, ... International Workshop on Spoken Language Translation, 104-111, 2018 | 15 | 2018 |
| Neural Simultaneous Speech Translation Using Alignment-based Chunking P Wilken, T Alkhouli, E Matusov, P Golik IWSLT 2020, 237-246, 2020 | 14 | 2020 |
| Accented speech recognition: Benchmarking, pre-training, and diverse data A Aksënova, Z Chen, CC Chiu, D van Esch, P Golik, W Han, L King, ... arXiv preprint arXiv:2205.08014, 2022 | 11 | 2022 |
| MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge J Jorge, A Martínez-Villaronga, P Golik, A Giménez, JA Silvestre-Cerdà, ... IberSPEECH, 257-261, 2018 | 11 | 2018 |
Hermann NeyRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
