---
features:
- name: audio
  dtype:
    audio:
      sampling_rate: 16000
- name: sentence
  dtype: string
task_categories:
- text-to-speech
- automatic-speech-recognition
- audio-to-audio
language:
- fa
tags:
- persian
- farsi
- speech
- TTS
- ASR
- Iran
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: mos_p808
    dtype: float64
  - name: mos_sig
    dtype: float64
  - name: mos_bak
    dtype: float64
  - name: mos_ovr
    dtype: float64
  splits:
  - name: train
    num_bytes: 37113065696.67625
    num_examples: 109401
  download_size: 47491068931
  dataset_size: 37113065696.67625
license: cc-by-4.0
pretty_name: Persian Farsi Speech Dataset
size_categories:
- 100K<n<1M
---

# Persian (Farsi) TTS Dataset

## 🗂️ 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.

---

<div align="center"><img width="400px" src="https://www.shutterstock.com/image-vector/persian-typography-iranian-art-translated-600nw-2053950194.jpg" alt="Iranian art" /></div>

## 📦 Data Sources

The following public datasets were used as base sources:

- [farsi_voice_dataset](https://huggingface.co/datasets/srezas/farsi_voice_dataset) - Apache license 2.0
- [asr-farsi-youtube-chunked-10-seconds](https://huggingface.co/datasets/pourmand1376/asr-farsi-youtube-chunked-10-seconds) - No license
- [asr-farsi-youtube-chunked-30-seconds](https://huggingface.co/datasets/pourmand1376/asr-farsi-youtube-chunked-30-seconds) - Apache license 2.0

---

## 🧹 Denoising & Preprocessing

Audio preprocessing and denoising were performed using the following model:

- **Denoising Model:** [sepformer](https://huggingface.co/speechbrain/sepformer-whamr16k)
- **Audio quality labeling** [dnsmos](https://lightning.ai/docs/torchmetrics/stable/audio/deep_noise_suppression_mean_opinion_score.html)

Other preprocessing steps may include:
- Audio resampling to 16 kHz  
- Loudness normalization
- Filtering out bad audio

---

## 📊 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.) |

---

## ⚖️ 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.

---

## 🙏 Acknowledgments

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

---

## 📬 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.}
}
```

---