ManaTTS-Persian-Speech-Dataset/README.md

# ManaTTS-Persian-Speech-Dataset

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](https://naslemana.com/) 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 audio segmentation and forced alignment.

## Dataset
The ManaTTS dataset can be downloaded from [this link](link to be updated).

## Raw Data Crawling
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](https://colab.research.google.com/drive/1_E5KYAwuCr9B8k6EPYjVErsx-7rrr8Vl?usp=sharing).

## Processing Pipeline
The following figure illustrates the overall processing pipeline used to create the ManaTTS dataset, including the steps for preproces

<p align="center">
  <img src="https://github.com/MahtaFetrat/ManaTTS-Persian-Speech-Dataset/assets/62302965/b3bf8dd1-f315-4278-bcd2-6ca80832fdcf" width="800">
</p>

This pipeline is available as a Jupyter Notebook included in this repository.  You can also run the notebook on Google Colab using [this link](https://colab.research.google.com/drive/1fWTy4IH2tSuOLrLSD8E8LMaUlI_Gnf-e?usp=sharing).

To run the pipeline, follow these steps:

1. Set up the required environment (details in the notebook)
2. Place the raw audio and text files in a directory named `raw`
3. Execute the cells in the notebook sequentially

## Trained TTS Model
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](https://github.com/MahtaFetrat/Persian-MultiSpeaker-Tacotron2).

## Contributing
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.

## License
The ManaTTS dataset is released under the CC-0 1.0 license, while the processing pipeline is licensed under the MIT license.

## Citation
If you use this dataset or the processing pipeline in your work, please cite the following paper:

(citation to be updated)