{"ID":5443863,"CreatedAt":"2026-07-01T02:07:11.383974684Z","UpdatedAt":"2026-07-03T16:35:57.158869329Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.31947","arxiv_id":"2606.31947","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.","short_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 emot...","url_abs":"https://arxiv.org/abs/2606.31947","url_pdf":"https://arxiv.org/pdf/2606.31947v1","authors":"[\"Nina Hosseini-Kivanani\",\"Sandipana Dowerah\"]","published":"2026-06-30T16:53:15Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[]","has_code":false}