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Persian (Farsi) TTS Dataset

πŸ—‚οΈ Dataset Description

This dataset is a Persian (Farsi) text-to-speech (TTS) corpus built by concatenating and denoising multiple existing Farsi datasets.
It is intended for training and evaluation of speech synthesis (TTS) models in Persian. Since the basic datasets were contaminated with unintelligible audio, I used dnsmos to keep only clean audio (mos_ovr >= 3.0, same value as for the Emilia dataset).

The dataset contains two main columns:

Column Description
audio Path or reference to the audio file (typically .wav)
sentence The corresponding Farsi text transcription of the audio
p808_mos Mean Opinion Score (MOS) predicted using the ITU P.808 standard for subjective speech quality evaluation.
mos_sig MOS estimating the perceived quality of the speech signal itself (clarity and naturalness of the voice).
mos_bak MOS estimating the quality of the background (amount of background noise and how intrusive it is).
mos_ovr Overall MOS combining both speech and background quality into a single overall quality score.

All data have been normalized, denoised, and quality-checked to ensure consistency across sources.


Iranian art

πŸ“¦ Data Sources

The following public datasets were used as base sources:


🧹 Denoising & Preprocessing

Audio preprocessing and denoising were performed using the following model:

Other preprocessing steps may include:

  • Audio resampling to 16 kHz
  • Loudness normalization
  • Filtering out bad audio

πŸ“Š Dataset Statistics (to fill in)

Basic dataset :

Field Value
Number of samples 236255
Total duration 695 hours
Average duration 10.6 seconds per audio
Sampling rate 16 000 hz
Compute cost $75 (This may vary depending on the hardware.)

Filtered dataset:

Field Value
Number of samples 109401
Total duration 417 hours
Average duration 13.7 seconds per audio
Sampling rate 16 000 hz
Compute cost $75 (This may vary depending on the hardware.)

βš–οΈ License

This dataset is licensed under CC BY 4.0. You can use it freely, including for commercial purposes. However, you must cite the dataset and its author.


πŸ™ Acknowledgments

Thanks to the creators of the original Farsi speech datasets that made this compilation possible.


πŸ“¬ Citation

If you use this dataset, please cite it as:

@dataset{thomcles_2025_persian_farsi_dataset,
  title        = {Persian-Farsi-Dataset},
  author       = {Thomcles},
  year         = {2025},
  url          = {https://huggingface.co/datasets/Thomcles/Persian-Farsi-Speech},
  note         = {A cleaned and concatenated dataset for Persian text-to-speech tasks.}
}

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