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Xingchen AGI Lab develops first large-model Tibetan TTS system

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

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

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.

Read on arXiv cs.CL →

COVERAGE [3]

  1. arXiv cs.CL TIER_1 · Jiaxu He, Chao Wang, Jie Lian, Yuqing Cai, Yongxiang Li, Renzeg Duojie, Jie Li ·

    Tibetan-TTS:Low-Resource Tibetan Speech Synthesis with Large Model Adaptation

    arXiv:2605.02496v1 Announce Type: cross Abstract: Tibetan text-to-speech (TTS) has long been challenged by scarce speech resources, significant dialectal variation, and the complex mapping between written text and spoken pronunciation. To address these issues, this work presents,…

  2. arXiv cs.CL TIER_1 · Jie Li ·

    Tibetan-TTS:Low-Resource Tibetan Speech Synthesis with Large Model Adaptation

    Tibetan text-to-speech (TTS) has long been challenged by scarce speech resources, significant dialectal variation, and the complex mapping between written text and spoken pronunciation. To address these issues, this work presents, to the best of our knowledge, the first large-mod…

  3. Hugging Face Daily Papers TIER_1 ·

    Tibetan-TTS:Low-Resource Tibetan Speech Synthesis with Large Model Adaptation

    Tibetan text-to-speech (TTS) has long been challenged by scarce speech resources, significant dialectal variation, and the complex mapping between written text and spoken pronunciation. To address these issues, this work presents, to the best of our knowledge, the first large-mod…