This repository hosts the dataset and accompanying resources for the paper titled "Training a Text-to-Speech System for Dialectal Arabic with a Focus on the Iraqi Dialect". The dataset is intended to aid researchers and developers in the field of speech synthesis, specifically focusing on Arabic dialects.
The dataset is stored on Google Drive. You can access it via the following link: Access Dataset
1. Arabic Phonetiser
A customized phonetic transcription tool that supports the unique phonemes in the Iraqi dialect.
Repository Link
2. Buckwalter Transliteration
An adapted transliteration system that integrates the added phonemes of the Iraqi dialect.
Repository Link
The "resources" folder contains both synthesized speech samples and a pre-trained model. This model serves as a baseline and can be further through additional training or fine-tuning.
Access these resources directly here: Resources Folder
Contributions are welcome! If you wish to enhance the dataset by adding more data or speakers, improving labeling, or developing new tools for the Iraqi dialect TTS system, feel free to fork the repository and create a pull request with your contributions. You can also report issues or suggest features through the issue tracker.
This project is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share, adapt, and build upon the work for any purpose, as long as appropriate credit is given.
For full details, please see the LICENSE file.
If you use this dataset in your research, please cite it using the following Bibtex entry:
@dataset{kharrufa_2024_11170567,
author = {Kharrufa, Hayder and
Taha, Adam and
Baraq, Mohammed},
title = {{Training a Text-to-Speech System for Dialectal
Arabic with a Focus on the Iraqi Dialect}},
month = may,
year = 2024,
publisher = {Zenodo},
version = {1.0},
doi = {10.5281/zenodo.11170567},
url = {https://doi.org/10.5281/zenodo.11170567}
}