LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish
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Computer Science > Computation and Language
Title:LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish
Abstract:State-of-the-art speech datasets predominantly focus on widely spoken languages, often overlooking low-resource languages such as Luxembourgish, which remain underrepresented in speech technology research. In this work, we introduce LuxEmo, a 21-hour conversational expressive speech corpus for Luxembourgish with 4 emotion categories. LuxEmo is derived from Radio Télévision Luxembourg (RTL) youth broadcasts, using automated detection followed by human validation. We propose a semi-automatic curation workflow combining voice activity detection, denoising, language identification, LuxASR-based segmentation, automatic emotion prediction, lexical cues, and targeted human review. Additionally, we benchmark five expressive TTS systems covering German-based cross-lingual transfer, multilingual Luxembourgish support, Luxembourgish adaptation, and non-parametric prosody transfer. Performance is evaluated using both objective metrics and human evaluation.
| Comments: | 7 pages, 4 figures, under review |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2606.31947 [cs.CL] |
| (or arXiv:2606.31947v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.31947
arXiv-issued DOI via DataCite (pending registration)
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Submission history
From: Nina Hosseini-Kivanani [view email][v1] Tue, 30 Jun 2026 16:53:15 UTC (2,328 KB)
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