Deep learning methods for speech synthesis.
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Université M’hamed Bougara de Boumerdes : Institut de Genie Electrique et Electronique
Abstract
In the name of Allah, the Most Merciful and the Most Gracious, We would like to begin by expressing our gratitude to Allah for His blessings, guidance, and unwavering support throughout this research journey. His mercy and wisdom
have been a source of strength and inspiration. We would also like to extend our heartfelt appreciation to our supervisor, Dr. Tabet, for his invaluable guidance, mentor-ship, and continuous encouragement. His expertise and wisdom have been instrumental in shaping the direction of this project. We would like to acknowledge and appreciate the teachers and staff of The Institute of Electrical and Electronics Engineering for their knowledge, guidance, and support
throughout our academic journey. Their dedication and expertise have greatly contributed to our growth and learning.
Lastly, We would like to express our sincere gratitude to our family, friends, and loved ones for their unwavering belief in us, their love, and their constant support. Their encouragement and presence have been a source of motivation and strength.
Description
72 p.
Keywords
Deep learning, Speech synyhesis, methods
