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New Luxembourgish SQA system uses TTS, new expressive speech corpus released

By PulseAugur Editorial · [2 sources] ·

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 →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Luxembourgish SQA system uses TTS, new expressive speech corpus released

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The cluster contains two academic papers detailing new datasets and methods for low-resource language processing in speech and TTS.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti ·

    LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering

    arXiv:2607.02763v1 Announce Type: new Abstract: Spoken Question Answering (SQA) remains largely focused on high-resource languages and carefully recorded speech, limiting the reach of speech-LLM methods in low-resource settings. This paper investigates whether text-to-speech (TTS…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish

    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 spe…

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