---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: transcript
    dtype: string
  - name: english
    dtype: string
  splits:
  - name: train
    num_bytes: 10917088956.322
    num_examples: 39238
  download_size: 10866820110
  dataset_size: 10917088956.322
task_categories:
- automatic-speech-recognition
language:
- pa
tags:
- punjabi
- asr
- transcription
- translation
pretty_name: Punjabi ASR
size_categories:
- 10K<n<100K
---

# Dataset for Punjabi ASR
Shrutilipi is a labelled ASR corpus obtained by mining parallel audio and text pairs at the document scale from All India Radio news bulletins for 12 Indian languages: Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Sanskrit, Tamil, Telugu, Urdu. The corpus has over 6400 hours of data across all languages.

```
@misc{https://doi.org/10.48550/arxiv.2208.12666,
  doi = {10.48550/ARXIV.2208.12666},
  url = {https://arxiv.org/abs/2208.12666},
  author = {Bhogale, Kaushal Santosh and Raman, Abhigyan and Javed, Tahir and Doddapaneni, Sumanth and Kunchukuttan, Anoop and Kumar, Pratyush and Khapra, Mitesh M.},
  title = {Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}
```