---
dataset_info:
  config_name: tamil
  features:
  - name: chunked_audio_filepath
    dtype: audio
  - name: text
    dtype: string
  - name: pred_text
    dtype: string
  - name: audio_filepath
    dtype: string
  - name: start_time
    dtype: float64
  - name: duration
    dtype: float64
  - name: alignment_score
    dtype: float64
  - name: en_text
    dtype: string
  - name: en_mining_score
    dtype: float64
  splits:
  - name: train
    num_bytes: 36896712990
    num_examples: 55307
  download_size: 28170670411
  dataset_size: 36896712990
configs:
- config_name: tamil
  data_files:
  - split: train
    path: tamil/train-*
language:
- ta
- hi
- te
---

# AI4B-IndicVoices-Curated-v0 🗣️

A high-quality curated subset of IndicVoices-ST dataset, processed and filtered for Text-to-Speech (TTS) applications. This dataset focuses on clean, well-aligned speech data with high-quality transcriptions.

## Currently Available Languages
- Tamil (80 hours)

*More languages (Hindi and Telugu) will be added soon!*

## Dataset Details

### Tamil Dataset
- **Size**: ~80 hours
- **Source**: Curated from [IndicVoices-ST](https://huggingface.co/datasets/ai4bharat/IndicVoices-ST)
- **Filtering Criteria**:
  - Alignment score > 0.9
  - Mining score > 0.5
  - Duration between 1-120 seconds
  - Clear speech without background noise
  - Well-aligned transcriptions

### Dataset Structure
```python
{
    'chunked_audio_filepath': dict,  # Actual Audio of type datasets.Audio
    'pred_text': str,                # Predicted Tamil text (has no use to TTS)
    'text': str,                     # Ground truth Tamil text
    'audio_filepath': str,           # Path to audio file
    'duration': float,               # Duration in seconds
    'alignment_score': float,
    'en_mining_score': float
}
```

## Use Cases
- Training Text-to-Speech (TTS) models
- Speech research for Indic language
- Prosody and pronunciation studies
- Benchmarking speech synthesis systems

## Citation
If you use this dataset, please cite both this repository and the original IndicVoices-ST dataset:

```bibtex
@article{jain2024bhasaanuvaad,
  title   = {BhasaAnuvaad: A Speech Translation Dataset for 14 Indian Languages},
  author  = {Sparsh Jain and Ashwin Sankar and Devilal Choudhary and Dhairya Suman and Nikhil Narasimhan and Mohammed Safi Ur Rahman Khan and Anoop Kunchukuttan and Mitesh M Khapra and Raj Dabre},
  year    = {2024},
  journal = {arXiv preprint arXiv: 2411.04699}
}
```

```bibtex
@misc{AI4B-IndicVoices-Curated-2024,
  title={AI4B-IndicVoices-Curated: High-Quality Speech Dataset for Indian Languages},
  author={Abhinand},
  year={2024},
  publisher={HuggingFace},
  howpublished={\url{https://huggingface.co/datasets/abhinand/AI4B-IndicVoices-Curated-v0}}
}
```

## License
This dataset follows the same license as the original IndicVoices-ST dataset.

## Acknowledgments
- [AI4Bharat](https://ai4bharat.org/) for the original IndicVoices-ST dataset
- All contributors to the original dataset collection

## Updates
- January 2025: Initial release with Tamil dataset (80 hours)
- Coming soon: Hindi and Telugu datasets

## Contact
For questions or issues, please open an Issue or contact the maintainer - [abhinand5](https://huggingface.co/abhinand).

---

*Note: This is an ongoing project, and we're continuously working to add more languages and improve data quality.*