Researchers have developed LuxSQA, a system for spoken question answering in Luxembourgish, a low-resource language. The system utilizes text-to-speech (TTS) technology to generate synthetic spoken questions, augmenting existing text-based QA resources. By training a parameter-efficient architecture with multiple TTS systems, LuxSQA achieved strong performance on a Luxembourgish test set, demonstrating the effectiveness of synthetic data for low-resource SQA. Separately, a new expressive speech corpus for Luxembourgish called LuxEmo has been created from radio broadcasts, featuring 21 hours of data across four emotion categories and benchmarked with five TTS systems. AI
IMPACT Advances in low-resource language SQA and expressive TTS could broaden access to AI technologies for underrepresented linguistic communities.
RANK_REASON The cluster contains two academic papers detailing new datasets and methods for low-resource language processing in speech and TTS.
Read on Hugging Face Daily Papers →
- Luxembourgish
- Radio Télévision Luxembourg (RTL)
- LLAMA-LB-Test
- LuxSQA
- MMS-TTS
- OmniVoice
- Qwen3-TTS
- text-to-speech
- Whisper
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