佛山科学技术学院学报（自然科学版）2026，Vol.44Issue(2)：1-9,9.
基于纯净韵律表征的表现力语音合成研究
Expressive speech synthesis based on pure prosodic representation
摘要
Abstract
Aiming at the deficiencies of traditional DDPM models in capturing dynamic prosodic features and their incompatibility with speech characteristics in speech synthesis,this paper proposes an expressive speech synthesis algorithm based on pure prosodic representation.Firstly,a prosody encoding network based on distribution modeling is designed,which can effectively suppress noise interference and learn pure prosodic feature embeddings.Secondly,a new diffusion model,HarmoVDiff,is proposed as the acoustic model,which is more compatible with speech characteristics than traditional DDPMs.Finally,a two-stage speech synthesis framework,HVDIF-TTS,is further constructed to achieve expressive and natural speech synthesis.Experimental results on the LJSpeech dataset show that the proposed algorithm achieves a BAPD value of 3.681 4,a GPE value of 0.150 2,and a NISQA-MOS value of 3.77.关键词
DDPM模型/韵律特征/韵律编码网络/HarmoVDiff声学模型/语音合成Key words
DDPM model/prosodic features/prosodic encoding network/HarmoVDiff acoustic model/speech synthesis分类
信息技术与安全科学引用本文复制引用
周燕,刘凌志,周月霞,刘翔宇..基于纯净韵律表征的表现力语音合成研究[J].佛山科学技术学院学报（自然科学版）,2026,44(2):1-9,9.基金项目
国家自然科学基金资助项目(61972091) （61972091）
