{
 "id": "yeshpanovrustem/kazakh_songs_asr",
 "owner": "yeshpanovrustem",
 "name": "kazakh_songs_asr",
 "downloads": 11,
 "likes": 3,
 "last_modified": "2026-05-14T02:33:39.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "manual",
 "tasks": [
  "automatic-speech-recognition"
 ],
 "citation": "@inproceedings{yeshpanov-2026-songs,\n  title = {Using Songs to Improve Kazakh Automatic Speech Recognition},\n  author = {Yeshpanov, Rustem},\n  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},\n  month = {May},\n  year = {2026},\n  pages = {5528--5537},\n  address = {Palma, Mallorca, Spain},\n  publisher = {European Language Resources Association (ELRA)},\n  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},\n  doi = {10.63317/5hqonmz5roum},\n  abstract = {Developing automatic speech recognition (ASR) systems for low-resource languages is hindered by the scarcity of transcribed corpora. This proof-of-concept study explores songs as an unconventional yet promising data source for Kazakh ASR. We curate a dataset of 3,013 audio-text pairs (about 4.5 hours) from 195 songs by 36 artists, segmented at the lyric-line level. Using Whisper as the base recogniser, we fine-tune models under seven training scenarios involving Songs, Common Voice Corpus (CVC), and FLEURS, and evaluate them on three benchmarks: CVC, FLEURS, and Kazakh Speech Corpus 2 (KSC2). Results show that song-based fine-tuning improves performance over zero-shot baselines. For instance, Whisper Large-V3 Turbo trained on a mixture of Songs, CVC, and FLEURS achieves 27.6% normalised WER on CVC and 11.8% on FLEURS, while halving the error on KSC2 (39.3% vs. 81.2%) relative to the zero-shot model. Although thes",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "af4b5d48283b0a9e42ce302c72b1cb38fa2c7bf2",
 "stated_evidence": "https://huggingface.co/datasets/yeshpanovrustem/kazakh_songs_asr/blob/af4b5d48283b0a9e42ce302c72b1cb38fa2c7bf2/README.md",
 "file_evidence": "https://huggingface.co/datasets/yeshpanovrustem/kazakh_songs_asr/tree/af4b5d48283b0a9e42ce302c72b1cb38fa2c7bf2",
 "card_nc": false
}