A comparison between allophone, syllable, and diphone based TTS systems for Kurdish language
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5400047/5407474/05407540.pdf?arnumber=5407540
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Planning the development of text-to-speech synthesis models and datasets with dynamic deep learning;Journal of King Saud University - Computer and Information Sciences;2024-09
2. Central Kurdish Text-to-Speech Synthesis with Novel End-to-End Transformer Training;Algorithms;2024-07-03
3. Advancements in Arabic Text-to-Speech Systems: A 22-Year Literature Review;IEEE Access;2023
4. Jira: a Central Kurdish speech recognition system, designing and building speech corpus and pronunciation lexicon;Language Resources and Evaluation;2022-06-14
5. An evaluation of sentence selection methods on the different phone-sized units for constructing Indonesian speech corpus;International Journal of Speech Technology;2019-12-23
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