LuxEmo：卢森堡语表达性文本转语音语料库
LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish
AI总结：
针对低资源语言卢森堡语，提出LuxEmo语料库（21小时，4种情感），采用半自动策展流程，并基准测试五种表达性TTS系统。
摘要：
最先进的语音数据集主要关注广泛使用的语言，往往忽略了卢森堡语等低资源语言，这些语言在语音技术研究中仍然代表性不足。在这项工作中，我们介绍了LuxEmo，一个21小时的卢森堡语会话表达性语音语料库，包含4种情感类别。LuxEmo源自卢森堡广播电视（RTL）青年广播，使用自动检测后经人工验证。我们提出了一种半自动策展工作流程，结合语音活动检测、去噪、语言识别、基于LuxASR的分割、自动情感预测、词汇线索和针对性的人工审查。此外，我们基准测试了五种表达性TTS系统，涵盖基于德语的跨语言迁移、多语言卢森堡语支持、卢森堡语适配以及非参数韵律迁移。使用客观指标和人工评估进行性能评估。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
