| Self-attentional acoustic models M Sperber, J Niehues, G Neubig, S Stüker, A Waibel arXiv preprint arXiv:1803.09519, 2018 | 109 | 2018 |
| Attention-passing models for robust and data-efficient end-to-end speech translation M Sperber, G Neubig, J Niehues, A Waibel Transactions of the Association for Computational Linguistics 7, 313-325, 2019 | 75 | 2019 |
| Neural lattice-to-sequence models for uncertain inputs M Sperber, G Neubig, J Niehues, A Waibel arXiv preprint arXiv:1704.00559, 2017 | 59 | 2017 |
| Toward robust neural machine translation for noisy input sequences M Sperber, J Niehues, A Waibel International Workshop on Spoken Language Translation (IWSLT), 18, 2017 | 53 | 2017 |
| XNMT: The extensible neural machine translation toolkit G Neubig, M Sperber, X Wang, M Felix, A Matthews, S Padmanabhan, ... arXiv preprint arXiv:1803.00188, 2018 | 52 | 2018 |
| JAguc—a software package for environmental diversity analyses ME Nebel, S Wild, M Holzhauser, L Huettenberger, R Reitzig, M Sperber, ... Journal of bioinformatics and computational biology 9 (06), 749-773, 2011 | 44 | 2011 |
| Low-latency neural speech translation J Niehues, NQ Pham, TL Ha, M Sperber, A Waibel arXiv preprint arXiv:1808.00491, 2018 | 43 | 2018 |
| Comparison of decoding strategies for ctc acoustic models T Zenkel, R Sanabria, F Metze, J Niehues, M Sperber, S Stüker, A Waibel arXiv preprint arXiv:1708.04469, 2017 | 33 | 2017 |
| Speech translation and the end-to-end promise: Taking stock of where we are M Sperber, M Paulik arXiv preprint arXiv:2004.06358, 2020 | 31 | 2020 |
| Self-attentional models for lattice inputs M Sperber, G Neubig, NQ Pham, A Waibel arXiv preprint arXiv:1906.01617, 2019 | 26 | 2019 |
| Efficient Transcription Through Respeaking M Sperber, G Neubig, C Fügen, S Nakamura, A Waibel Interspeech, 2013 | 24* | 2013 |
| Exploring phoneme-level speech representations for end-to-end speech translation E Salesky, M Sperber, AW Black arXiv preprint arXiv:1906.01199, 2019 | 23 | 2019 |
| Fluent translations from disfluent speech in end-to-end speech translation E Salesky, M Sperber, A Waibel arXiv preprint arXiv:1906.00556, 2019 | 17 | 2019 |
| Dynamic Transcription for Low-Latency Speech Translation. J Niehues, TS Nguyen, E Cho, TL Ha, K Kilgour, M Müller, M Sperber, ... Interspeech, 2513-2517, 2016 | 16 | 2016 |
| Adaptation and combination of nmt systems: The kit translation systems for iwslt 2016 E Cho, J Niehues, TL Ha, M Sperber, M Mediani, A Waibel Proceedings of the 13th International Workshop on Spoken Language …, 2016 | 14 | 2016 |
| Lecture Translator-Speech translation framework for simultaneous lecture translation M Müller, TS Nguyen, J Niehues, E Cho, B Krüger, TL Ha, K Kilgour, ... Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 11 | 2016 |
| Massively parallel cross-lingual learning in low-resource target language translation Z Zhou, M Sperber, A Waibel arXiv preprint arXiv:1804.07878, 2018 | 10 | 2018 |
| Kit’s multilingual neural machine translation systems for iwslt 2017 NQ Pham, M Sperber, E Salesky, TL Ha, J Niehues, A Waibel Proceedings of the 14th International Workshop on Spoken Language …, 2017 | 10 | 2017 |
| The 2014 KIT IWSLT speech-to-text systems for English, German and Italian K Kilgour, M Heck, M Müller, M Sperber, S Stüker, A Waibel Proceedings of the 11th International Workshop on Spoken Language …, 2014 | 10 | 2014 |
| Optimizing computer-assisted transcription quality with iterative user interfaces M Sperber, G Neubig, S Nakamura, A Waibel Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 9 | 2016 |
