Text to Speech Synthesis: A Systematic Review, Deep Learning Based Architecture and Future Research Direction-Reference-Cited by-同舟云学术

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Text to Speech Synthesis: A Systematic Review, Deep Learning Based Architecture and Future Research Direction

Published:2022 Issue:5 Volume:13 Page:
ISSN:1798-2340
Container-title:Journal of Advances in Information Technology
language:
Short-container-title:JAIT

Author:

Khanam Fahima,Munmun Farha Akhter,Ritu Nadia Afrin,Saha Aloke Kumar,Mridha Muhammad Firoz

Publisher

Engineering and Technology Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software

Link

http://www.jait.us/uploadfile/2022/0831/20220831054604906.pdf

Cited by 10 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. Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources;EURASIP Journal on Audio, Speech, and Music Processing;2024-02-12

3. Text-to-Speech Conversion Using Concatenative Approach for Gujarati Language;Lecture Notes in Networks and Systems;2024

4. Incorporating Speaker’s Speech Rate Features for Improved Voice Cloning;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

5. Modular Architecture of Advanced Driver Assistance Systems for Effective Traffic Sign Recognition;Vestnik NSU. Series: Information Technologies;2023-12-08

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