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 ![]() | |
Hosseini Kivanani, Nina ![]() | |
Hillah, Léopold Edem Ayité ![]() | |
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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