Reference : LUX-ASR: Building an ASR system for the Luxembourgish language
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/55105
LUX-ASR: Building an ASR system for the Luxembourgish language
English
Gilles, Peter mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Humanities (DHUM) >]
Hosseini Kivanani, Nina mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Hillah, Léopold Edem Ayité mailto [University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM) > >]
2023
Proceedings - 2022 IEEE Spoken Language Technology Workshop (SLT)
IEEE, Spoken Language Technology
1147-1149
Yes
No
International
978-1-6654-7189-3
2022 IEEE Spoken Language Technology Workshop (SLT) SLT 2022
from 09-01-2023 to 12-01-2023
SLT
Doha
Qatar
[en] Automatic Speech Recognition ; Luxembourgish
[en] We present a first system for automatic speech recognition
(ASR) for the low-resource language Luxembourgish. By
applying transfer-learning, we were able to fine-tune Meta’s
wav2vec2-xls-r-300m checkpoint with 35 hours of labeled
Luxembourgish speech data. The best word error rate received lies at 14.47.
http://hdl.handle.net/10993/55105

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