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Nick Rossenbach
Nick Rossenbach
Ph.D. Student in Computer Science at RWTH Aachen
Verified email at sounddesign.com
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Year
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
782020
The RWTH Aachen University filtering system for the WMT 2018 parallel corpus filtering task
N Rossenbach, J Rosendahl, Y Kim, M Graça, A Gokrani, H Ney
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
252018
The rwth aachen university english-german and german-english machine translation system for wmt 2017
JT Peter, A Guta, T Alkhouli, P Bahar, J Rosendahl, N Rossenbach, ...
Proceedings of the Second Conference on Machine Translation, 358-365, 2017
112017
The RWTH Aachen machine translation systems for IWSLT 2017
P Bahar, J Rosendahl, N Rossenbach, H Ney
Proceedings of the 14th International Conference on Spoken Language …, 2017
102017
The RWTH Aachen Machine Translation System for IWSLT 2016
JT Peter, A Guta, N Rossenbach, MM Graça, H Ney
International Workshop on Spoken Language Translation 13, 2016
92016
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures
N Rossenbach, M Zeineldeen, B Hilmes, R Schlüter, H Ney
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
62021
Automatic video dubbing at AppTek
MA Di Gangi, N Rossenbach, A Pérez, P Bahar, E Beck, P Wilken, ...
Proceedings of the 23rd Annual Conference of the European Association for …, 2022
52022
Learning bilingual sentence embeddings via autoencoding and computing similarities with a multilayer perceptron
Y Kim, H Rosendahl, N Rossenbach, J Rosendahl, S Khadivi, H Ney
arXiv preprint arXiv:1906.01942, 2019
42019
Take the hint: Improving Arabic diacritization with partially-diacritized text
P Bahar, M Di Gangi, N Rossenbach, M Zeineldeen
arXiv preprint arXiv:2306.03557, 2023
12023
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
N Rossenbach, B Hilmes, R Schlüter
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
2023
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