urgent-challenge/urgent2025-sqa
Dataset Description This dataset comprises noisy and enhanced speech from the URGENT Speech Enhancement Challenge (Interspeech 2025), curated for SQA/SE research. Each entry includes audio/IDs with a comprehensive suite of objective and model-predicted quality metrics, and human MOS where available (see Data fields). The MOS label for each speech sample were collected from 8 distinct human subjects through Amazon Mechanical Turk (MTurk) platform, following the P.808… See the full description on the dataset page: https://huggingface.co/datasets/urgent-challenge/urgent2025-sqa.
| Author / organization | urgent-challenge |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 849 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 2 September 2025 |
| Last updated at source | 10 December 2025 |
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