A Text Normalization Method for Speech Synthesis Based on Local Attention Mechanism
This paper proposes a deep learning model based on a recurrent neural network (RNN) to solve the problem of text normalization for speech synthesis. Traditional rule-based models cannot take advantage of contextual information and do not handle text outside of rules well, while deep learning-based m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9001015/ |