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arXiv · 2606.31947

LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish

Nina Hosseini-Kivanani·Sandipana Dowerah
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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 T\'el\'evision 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.

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Nina Hosseini-Kivanani, Sandipana Dowerah. 2026-06-30. LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish. https://arxiv.org/abs/2606.31947

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