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A real-time voice cloning system with multiple algorithms for speech quality improvement

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成果类型:
期刊论文
作者:
Hu, Weixin;Zhu, Xianyou
通讯作者:
Zhu, XY
作者机构:
[Zhu, Xianyou; Hu, Weixin] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
通讯机构:
[Zhu, XY ] H
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
语种:
英文
期刊:
PLOS ONE
ISSN:
1932-6203
年:
2023
卷:
18
期:
4
页码:
e0283440
基金类别:
Science and Technology Innovation Program of Hunan Province [2016TP1020]; Hunan Provincial Natural Science Foundation of China [2022JJ50138]; 14th Five-Year Plan Project of Educational Science in Hunan Province [XJK21BGD007]
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
With the development of computer technology, speech synthesis techniques are becoming increasingly sophisticated. Speech cloning can be performed as a subtask of speech synthesis technology by using deep learning techniques to extract acoustic information from human voices and combine it with text to output a natural human voice. However, traditional speech cloning technology still has certain limitations; excessively large text inputs cannot be adequately processed, and the synthesized audio may include noise artifacts like breaks and unclear phrases. In this study, we add a text determinatio...

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