Speech Synthesis of Tibetan Amdo Dialect Based on Attention and Recurrent Neural Network
Author:
Affiliation:
1. Northwest Normal University,College of Physics and Electronic Engineering,Engineering Research Center of Gansu Province for Intelligent Information Technology and Application,LanZhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9741749/9742309/09742458.pdf?arnumber=9742458
Reference11 articles.
1. Char2Wav: End- to-End Speech Synthesis;sotelo;ICLRE,2017
2. Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model;wang,2017
3. Deep Learning for Load Forecasting: Sequence to Sequence Recurrent Neural Networks With Attention
4. A Unified Sequence-to-Sequence Front-End Model for Mandarin Text-to-Speech Synthesis
5. Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis
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1. HI-RES ACG: Towards High-Resolution Anime Characters Generation;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
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