Datasets:
Formats:
parquet
Size:
10K - 100K
File size: 3,384 Bytes
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---
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.* |