README.md

---
language:
- ps
license: mit
pretty_name: Pashto Synthetic Speech Dataset (2k)
size_categories:
- 1K<n<10K
tags:
- audio
- speech
- pashto
- tts
- synthetic
task_categories:
- automatic-speech-recognition
metrics:
- wer
paperswithcode:
  eval_results: []
  preferred_citation: |-
    @dataset{pashto_synthetic_speech_2k,
      title = {Pashto Synthetic Speech Dataset (2k)},
      year = {2023}
    }
---

# Pashto Synthetic Speech Dataset (2k)

This dataset contains 4000 synthetic speech recordings in the Pashto language,
with 2000 male voice recordings and 2000 female voice recordings.

## Dataset Information

- **Dataset Size**: 2000 sentences
- **Total Recordings**: 4000 audio files (2000 male + 2000 female)
- **Audio Format**: WAV, 44.1kHz, 16-bit PCM
- **Sampling Rate**: 44.1kHz (44100 Hz)
- **Voices**: 
  - Male: ps-AF-GulNawazNeural
  - Female: ps-AF-LatifaNeural
- **Total Audio Duration**: 
  - Male: 0.00 seconds
  - Female: 0.00 seconds
- **Average Clip Duration**:
  - Male: 0.00 seconds
  - Female: 0.00 seconds

## Dataset Structure

```
pashto_speech_2k/
  ├── audio/
  │   ├── male/        # Male voice recordings
  │   └── female/      # Female voice recordings
  ├── manifest.json    # Combined dataset manifest
  ├── male_manifest.json     # Male voice manifest
  ├── female_manifest.json   # Female voice manifest
  ├── dataset_info.json      # Dataset metadata
  └── README.md        # This file
```

## Usage

This dataset can be used for:
- Training ASR (Automatic Speech Recognition) systems for Pashto
- Text To Speech (TTS) systesm for Pashto
- Voice activity detection
- Speaker verification
- Speech synthesis evaluation

## License

This dataset is licensed under the MIT License.

## Citation

If you use this dataset in your research, please cite:

```
@dataset{pashto_synthetic_speech_2k,
  title = {Pashto Synthetic Speech Dataset (2k)},
  author = {Hanif Rahman},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/datasets/ihanif/pashto_speech_2k}}
}
```

## Acknowledgments

This dataset was created using Microsoft Edge TTS voices.