DNN-Based Arabic Speech Synthesis
Author:
Affiliation:
1. Scientific and Technical Research, Centre for The Development of Arabic Language CRSTDLA,Algiers,Algeria
2. University of Blida 1,DIC Laboratory,Department of Electronics,Algeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9772478/9772516/09772602.pdf?arnumber=9772602
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1. End-to-End Text-to-Speech Systems in Arabic: A Comparative Study;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21
2. DNN-based Arabic Printed Characters Classification;2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC);2024-05-12
3. Design and construction of 14 Arabic fricatives dataset, classification and characterization using CRNN, transformers, and H-CRNN;Multimedia Tools and Applications;2024-02-23
4. BAC TTS Corpus: Rich Arabic Database for Speech Synthesis;2023 10th International Conference on Electrical and Electronics Engineering (ICEEE);2023-05-08
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