{
 "id": "skesiraju/Shrutilipi",
 "owner": "skesiraju",
 "name": "Shrutilipi",
 "downloads": 1389,
 "likes": 2,
 "last_modified": "2025-10-21T09:12:58.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "automatic-speech-recognition"
 ],
 "citation": "@inproceedings{bhogale2022effectiveness,\n author={Bhogale, Kaushal and Raman, Abhigyan and Javed, Tahir and Doddapaneni, Sumanth and Kunchukuttan, Anoop and Kumar, Pratyush and Khapra, Mitesh M.},\n  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, \n  title={Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages}, \n  year={2023},\n  volume={},\n  number={},\n  pages={1-5},\n  keywords={Training;Bridges;Atmospheric modeling;Optical character recognition;Speech recognition;Signal processing;Benchmark testing;Alignment;Low-Resource Languages},\n  doi={10.1109/ICASSP49357.2023.10096933}}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "7b431070b650c3355359f18e2e37252178d987b6",
 "stated_evidence": "https://huggingface.co/datasets/skesiraju/Shrutilipi/blob/7b431070b650c3355359f18e2e37252178d987b6/README.md",
 "file_evidence": "https://huggingface.co/datasets/skesiraju/Shrutilipi/tree/7b431070b650c3355359f18e2e37252178d987b6",
 "card_nc": false
}