LUX-ASR: Building an ASR system for the Luxembourgish language

peer reviewed ; 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.

Verfasser: Gilles, Peter
Hosseini Kivanani, Nina
Hillah, Léopold Edem Ayité
Dokumenttyp: conference paper
Erscheinungsdatum: 2023
Schlagwörter: Automatic Speech Recognition / Luxembourgish / Engineering / computing & technology / Computer science / Ingénierie / informatique & technologie / Sciences informatiques
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27134155
Datenquelle: BASE; Originalkatalog
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Link(s) : https://orbilu.uni.lu/handle/10993/55105