Planning the development of text-to-speech synthesis models and datasets with dynamic deep learning

Author:

Ahmad Hawraz A.,Rashid Tarik A.

Funder

Salahaddin University - Erbil

Publisher

Elsevier BV

Reference111 articles.

1. The main principles of text to speech synthesis system;Aida-Zade;World Acad. Sci. Eng. Technol.,2010

2. Abdullah, A.A., Veisi H., Rashid, T.A., 2024. Breaking walls: pioneering automatic speech recognition for Central Kurdish: end-to-end transformer paradigm. arXiv:2406.02561v1. doi: 10.48550/arXiv.2406.02561.

3. Ahmad, H. A., & Rashid, T., 2024. Gigant-Ktts Dataset: Towards Building an Extensive Gigant Dataset for Kurdish Text-to-Speech Systems. Available at SSRN 4826641.

4. Ali, A. H., Magdy, M., Alfawzy, M., Ghaly, M., Abbas, H., 2021 Arabic speech synthesis using deep neural networks. In: Proc. International Conference on Communications, Signal Processing, and their Applications. pp. 1–6.

5. Analyzing speech quality perception using electro-encephalography;Antons;IEEE J. Sel. Top. Signal Process.,2012

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