Research on speech synthesis technology based on Tibetan rhythmic features

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 . • In Tibetan, rhythmic information is the highest representation of speech dynamics. • The rhythm prediction model enables rhythm modeling in Tibetan acoustic models. • Rhythm modeling methods enhance the naturalness of Tibetan speech synthesis. • A speech synthesis corpus for the Anduo dialect of Tibetan has been constructed.

Authors

Institutions

Publication Details

Journal
Expert Systems with Applications
Published
2025-03-14
DOI
https://doi.org/10.1016/j.eswa.2025.127181
Citations
1
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on speech synthesis technology based on Tibetan rhythmic features

Yangzom Yangzom, Wenjie Tang, Janguo Wei, Kuntharrgyal Khysru
1 citations
Expert Systems with Applications
Speech Recognition and Synthesis
2.48
article

Research on speech synthesis technology based on Tibetan rhythmic features

Yangzom Yangzom, Wenjie Tang, Janguo Wei, Kuntharrgyal Khysru
article en
1 citations

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 . • In Tibetan, rhythmic information is the highest representation of speech dynamics. • The rhythm prediction model enables rhythm modeling in Tibetan acoustic models. • Rhythm modeling methods enhance the naturalness of Tibetan speech synthesis. • A speech synthesis corpus for the Anduo dialect of Tibetan has been constructed.

Expert Systems with ApplicationsVol. 277
Qinghai University (CN), Tianjin University (CN)
Quality Education
Openalex Percentile: Top 11%
Speech Recognition and Synthesis
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.