Oral cancer speech corpus for paper "Detecting and analysing spontaneous oral cancer speech in the wild"
<p>This is the oral cancer speech corpus used in the paper <em>"Detecting and analysing spontaneous oral cancer speech in the wild".</em></p> <p><strong>Description</strong></p> <p>This dataset contains approximately 3 hours of oral cancer speech data collected from YouTube, including a file with additional metadata. We use this dataset to perform an oral cancer speech detection task in our paper.</p> <p><strong>Funding</strong></p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No 766287. The Department of Head and Neck Oncology and surgery of the Netherlands Cancer Institute receives a research grant from Atos Medical (Horby, Sweden),<br> which contributes to the existing infrastructure for quality of life research.</p> <p><strong>Citation:</strong></p> <p>If you use this dataset please cite:</p> <pre><code>@misc{halpern2020detecting, title={Detecting and analysing spontaneous oral cancer speech in the wild}, author={Bence Mark Halpern and Rob van Son and Michiel van den Brekel and Odette Scharenborg}, year={2020}, eprint={2007.14205}, archivePrefix={arXiv}, primaryClass={eess.AS} }</code></pre> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8