Lux-ASR – Automatic Speech Recognition and Translation for Luxembourgish
The project at a glance
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Start date:15 May 2024
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Duration in months:48
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Funding:Chambre des Députes du Grand-Duché de Luxembourg
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Principal Investigator(s):Peter GILLES
About
The recent advent of highly performant models in Machine Learning had a considerable impact also on automatic speech recognition (ASR) systems in general and on low-resource language in particular. Models that have been trained on thousands of hours of labeled (or unlabeled) speech are achieving today error rates that were inconceivable even ten years ago. However, while these models mainly exist for big languages (i.e. mainly English), small and low-resource languages typically were left out as the preparation of appropriate training material was too costly or too complicated due to the lack of the required high amount of text and audio data. Lux-ASR is a speech recognition system for the Luxembourgish language. In 2022, a first version has been proposed and in the meantime, the system has been developed constantly and the project is supported by the Chambre des Députes du Grand-Duché de Luxembourg. Lux-ASR is under constant development by Peter Gilles, Nina Hosseini-Kivanani, and Léopold Hillah at the University of Luxembourg.
Organisation and Partners
- Department of Humanities
- Faculty of Humanities, Education and Social Sciences (FHSE)
- Institute of Luxembourgish Language and Literature
- Chambre des Députés du Grand-Duché de Luxembourg
Project team
- Peter GILLES, PI
- Nina HOSSEINI KIVANANI, Project member
- Nils REHLINGER, Project member
- Léopold HILLAH, Project member, Department of Computer Science (external)