Abstract: Tibetan synthesis is an important research direction in the field of artificial intelligence,which has significant implications for promoting the development and innovation of Tibetan language information processing.This paper proposes a corpus processing method based on Tibetan character components,aiming to reduce the difficulty of text processing,and adopts an end-to-end speech synthesis model to explore two low-resource multi-dialect Tibetan synthesis schemes.The experiments show that the proposed method can achieve multi-dialect speech synthesis with a single model trained on mixed datasets,improve the naturalness and expressiveness of speech,and achieve an average MOS of 4.56 for speech quality.

Key words: Tibetan character component, low-resource, multi-dialect, Tibetan, speech synthesis