A System Design of English Speech Synthesis

被引：0
|
作者：
Li, Su-Mei [1 ,2 ]
Liu, Cong-Cong [3 ]
Yang, Yuan-Cheng [3 ]
Li, Xin-Guang [1 ]
Ma, Shan-Xian [3 ]
机构：
[1] Guangdong Univ Foreign Studies, Lab Language Engn & Comp, Guangzhou, Peoples R China
[2] Guangdong Univ Foreign Studies, Expt Teaching Ctr, Guangzhou, Peoples R China
[3] Guangdong Univ Foreign Studies, Sch Informat Sci & Technol, Guangzhou, Peoples R China
来源：
2021 14TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2021) | 2021年
关键词：
WaveNet; WaveRNN; English Speech Synthesis; Aritificial Intelligence;
D O I：
10.1109/CISP-BMEI53629.2021.9624390
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Speech synthesis, also known as text to speech (TTS), is a technology to convert text into sound, which is also an important technology to realize the communication between human and machine. English is an international language. It is necessary to study English speech synthesis technology. Aiming at English speech synthesis, an end-to-end speech synthesis method and system based on convolutional neural network WaveRNN and WaveNet is explained used in this paper. Experiments show that the Mean Opinion Score (MOS) of the synthesized speech is 3.32, and the speech quality is better than that of the general parametric speech synthesis system.
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页数：6
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