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Michel Plüss
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Need for speed in accurate whole-genome data analysis: GENALICE MAP challenges BWA/GATK more than PEMapper/PECaller and Isaac
M Plüss, AM Kopps, I Keller, J Meienberg, SM Caspar, N Dubacher, ...
Proceedings of the National Academy of Sciences 114 (40), E8320-E8322, 2017
232017
Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus
M Plüss, L Neukom, C Scheller, M Vogel
Swiss Text Analytics Conference 2021 2957, 2021
212021
SDS-200: A Swiss German Speech to Standard German Text Corpus
M Plüss, M Hürlimann, M Cuny, A Stöckli, N Kapotis, J Hartmann, ...
Language Resources and Evaluation Conference, 3250-3256, 2022
132022
GermEval 2020 Task 4: Low-Resource Speech-to-Text
M Plüss, L Neukom, M Vogel
5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural …, 2020
102020
STT4SG-350: A speech corpus for all Swiss German dialect regions
M Plüss, J Deriu, Y Schraner, C Paonessa, J Hartmann, L Schmidt, ...
arXiv preprint arXiv:2305.18855, 2023
72023
SwissText 2021 Task 3: Swiss German Speech to Standard German Text
M Plüss, L Neukom, M Vogel
Swiss Text Analytics Conference 2021 2957, 2021
52021
2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022
M Plüss, Y Schraner, C Scheller, M Vogel
arXiv preprint arXiv:2301.06790, 2023
12023
Swiss German Speech to Text system evaluation
Y Schraner, C Scheller, M Plüss, M Vogel
arXiv preprint arXiv:2207.00412, 2022
2022
Comparison of Unsupervised Learning and Supervised Learning with Noisy Labels for Low-Resource Speech Recognition
Y Schraner, C Scheller, M Plüss, L Neukom, M Vogel
Proc. Interspeech 2022, 4875-4879, 2022
2022
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