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Saarland University
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No single TTS model excels across all low-resource languages, revealing a critical gap in synthetic speech quality that demands targeted solutions.
Dialect-specific speech datasets like Saar-Voice can help bridge the performance gap between standardized language models and real-world linguistic diversity.
