Quran Persian Translation

Quran Persian Translation is a Persian dataset of over 20 hours 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, please refer to the paper in the Citation secition.

Acknowledgement

The raw audio and text files have been collected from the Persian translation of quran by Masoud Riaei and read aloud by Behrouz Razavi. We thank the Asr-e-Kankash publication for granting the permission to publish the processed data under an open license.

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 corresponding to the audio.
duration (float64): Duration of the audio file in seconds.
match quality (string): Either "HIGH" for CER < 0.05 or "MIDDLE" for 0.05 < CER < 0.2 between actual and hypothesis transcript.
hypothesis (string): The best transcript generated by ASR as hypothesis to find the matching ground-truth transcript.
CER (float64): The Character Error Rate (CER) of the ground-truth and hypothesis transcripts.
search type (int64): Either 1 indicating the GT transcripts is result of Interval Search or 2 if a result of Gapped Search (refer to paper for more details).
ASRs (string): The Automatic Speech Recognition (ASR) systems used in order to find a satisfying matching transcript.
audio (sequence): The actual audio data.
samplerate (float64): The sample rate of the audio.

Usage

To use the dataset, you can load it directly using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("MahtaFetrat/Quran-Persian", split='train')

You can also download specific parts or the entire dataset:

# Download a specific part
wget https://huggingface.co/datasets/MahtaFetrat/Quran-Persian/resolve/main/dataset/dataset_part_01.parquet

# Download the entire dataset
git clone https://huggingface.co/datasets/MahtaFetrat/Quran-Persian

Citation

If you use Quran-Persian in your research or projects, please cite the following paper:

@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.

Datasets:

MahtaFetrat
/

Quran-Persian