urgent-challenge/urgent2024-sqa
Dataset Description This dataset comprises noisy and enhanced speech from the URGENT Speech Enhancement Challenge (NeurIPS 2024), 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/urgent2024-sqa.
| Author / organization | urgent-challenge |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 September 2025 |
| Last updated at source | 9 December 2025 |
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- 17 Oct 2026 Description: Dataset Description This dataset comprises noisy and enhanced speech from the URGENT Speech Enhancement Challenge (NeurIPS 2024), curated for SQA/SE research. Each entry includes audio/IDs with a comprehensive suite of objective and model-p → Dataset Description This dataset comprises noisy and enhanced speech from the URGENT Speech Enhancement Challenge (NeurIPS 2024), curated for SQA/SE research. Each entry includes audio/IDs with a comprehensive suite of objective and model-p
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