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| # GPTInformal-Persian-Speech-Dataset | |||
| A free licensed Persian TTS dataset including 6+ hours of audio-text pairs with subject | |||
| GPTInformal Persian is a free licensed Persian dataset of audio and text pairs designed for speech synthesis and other speech-related tasks. The dataset has been collected, processed, and annotated as a part of the Mana-TTS project. For details on data processing pipeline and statistics on this dataset, please refer to the paper in the Citation secition. | |||
| ## Data Source | |||
| The text for this dataset was generated using GPT4o, with prompts covering a wide range of subjects such as politics and nature. The texts are intentionally crafted in informal Persian. Below is the prompt format used to generate these texts: | |||
| > Please give me a very long text written in informal Persian. I want it to be mostly about [SUBJECT]. | |||
| These generated texts were then recorded in a quiet environment. The audio and text files underwent forced alignment using [aeneas](https://github.com/readbeyond/aeneas), resulting in smaller chunks of audio-text pairs as presented in this dataset. | |||
| ## Download | |||
| You can download the dataset from [this repository](https://huggingface.co/datasets/MahtaFetrat/GPTInformal-Persian). | |||
| ### Data Columns | |||
| Each Parquet file contains the following columns: | |||
| - **file name** (`string`): The unique identifier of the audio file. | |||
| - **transcript** (`string`): The ground-truth transcript of the audio. | |||
| - **duration** (`float64`): Duration of the audio file in seconds. | |||
| - **subject** (`string`): The subject used in prompt to get the original text file. | |||
| - **audio** (`sequence`): The actual audio data. | |||
| - **samplerate** (`float64`): The sample rate of the audio. | |||
| ## Citation | |||
| If you use GPTInformal-Persian in your research or projects, please cite the following paper: | |||
| ```bash | |||
| @article{fetrat2024manatts, | |||
| title={ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages}, | |||
| author={Mahta Fetrat Qharabagh and Zahra Dehghanian and Hamid R. Rabiee}, | |||
| journal={arXiv preprint arXiv:2409.07259}, | |||
| year={2024}, | |||
| } | |||
| ``` | |||
| ## License | |||
| This dataset is available under the cc0-1.0. However, the dataset should not be utilized for replicating or imitating the speaker’s voice for malicious | |||
| purposes or unethical activities, including voice cloning for malicious intent. | |||