Researchers have developed Tibetan-TTS, a novel text-to-speech system designed for the Tibetan language, which is characterized by limited data and dialectal variations. This system leverages a large speech synthesis model from Xingchen AGI Lab, incorporating enhancements for data quality, Tibetan-specific text representation, and cross-lingual adaptive training. The resulting system produces stable, natural, and intelligible Tibetan speech, achieving high MOS scores and pronunciation accuracy that surpass existing commercial Tibetan TTS interfaces. AI
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IMPACT Enables more accessible and accurate speech synthesis for under-resourced languages like Tibetan.
RANK_REASON The cluster contains an academic paper detailing a new method for low-resource speech synthesis.