Research on speech synthesis technology based on Tibetan rhythmic features

Abstract

Text-to-speech(TTS) synthesis technology is one of the core technologies in the field of human–computer interaction, playing an important role in this area. This article starts from the theory of Tibetan grammar and the phonetic characteristics of Tibetan language, and designs a rhythm boundary automatic annotation method for Tibetan text and acoustic features based on the phonetic characteristics of Tibetan language. By predicting the rhythm structure hierarchy through a rhythm prediction model, and after modeling Tibetan rhythm on the acoustic model, the Tibetan synthesis model based on the improved Tacotron2 is constructed to obtain the final synthetic Tibetan speech. Experimental results show that the deep model for Tibetan speech synthesis, which utilizes Tibetan rhythm features, can further improve the naturalness and comprehensibility of the synthesized speech.