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The Technique of English Word Syllable Division in Speech Synthesis Based on Neural Network
- Source :
- Mathematical Problems in Engineering, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- With the increasing maturity of speech synthesis technology, on the one hand, it has been more and more widely used in people’s lives; on the other hand, it also brings more and more convenience to people. The requirements for speech synthesis systems are getting higher and higher. Therefore, advanced technology is used to improve and update the accent recognition system. This paper mainly introduces the word stress annotation technology combined with neural network speech synthesis technology. In Chinese speech synthesis, prosodic structure prediction has a great influence on naturalness. The purpose of this paper is to accurately predict the prosodic structure, which has become an important problem to be solved in speech synthesis. Experimental data show that the average error of samples in the network training process is lel/85, and the minimum value of the training error after 500 steps is 0.00013127, so the final sample average error is lel = 85 ∗ 0.0013127 = 0.112
- Subjects :
- Article Subject
Artificial neural network
Computer science
General Mathematics
Speech recognition
Chinese speech synthesis
General Engineering
Speech synthesis
Engineering (General). Civil engineering (General)
computer.software_genre
Naturalness
Stress (linguistics)
QA1-939
TA1-2040
Syllable
Sound quality
computer
Mathematics
Word (computer architecture)
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....f6de67f4f3ccfde2ff9d54f9e1841694