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README.md | 8 months ago |
ManaTTS is the largest publicly accessible single-speaker Persian corpus, comprising approximately 86 hours of audio with a sampling rate of 44.1 kHz. It is released under the open CC-0 license, enabling educational and commercial use. This dataset is a comprehensive speech dataset for the Persian language, collected from the Nasl-e-Mana magazine. It includes a wide range of topics and domains, making it suitable for training high-quality text-to-speech models. The dataset is accompanied by a fully transparent, open-source pipeline for data collection and processing, including tools for sentence tokenization, audio segmentation, and forced alignment.
The ManaTTS dataset can be downloaded from this link.
The raw data for this dataset was crawled from the Nasl-e-Mana magazine website. The crawling script used for this purpose is also provided in this repository and on Google Colab in this link.
The following figure illustrates the overall processing pipeline used to create the ManaTTS dataset, including the steps for preproces
This pipeline is available as a Jupyter Notebook included in this repository. You can also run the notebook on Google Colab using this link.
To run the pipeline, follow these steps:
raw
A text-to-speech (TTS) model has been trained on the ManaTTS dataset. The code for training the model, as well as some output samples, are available in this repository.
Contributions to this project are welcome! If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request.
The ManaTTS dataset is released under the CC-0 1.0 license, while the processing pipeline is licensed under the MIT license.
If you use this dataset or the processing pipeline in your work, please cite the following paper:
(citation to be updated)