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Dataset . 2020
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY
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Oral cancer speech corpus for paper "Detecting and analysing spontaneous oral cancer speech in the wild"

Authors: Halpern, Bence Mark; Van Son, Rob; Van Den Brekel, Michiel; Scharenborg, Odette;

Oral cancer speech corpus for paper "Detecting and analysing spontaneous oral cancer speech in the wild"

Abstract

DO NOT USE THIS --> THERE IS A NEW VERSION AVAILABLE HERE: https://zenodo.org/record/6308119 This is the oral cancer speech corpus used in the paper "Detecting and analysing spontaneous oral cancer speech in the wild". Description 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. Funding 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), which contributes to the existing infrastructure for quality of life research. Citation: If you use this dataset please cite: @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} }

Keywords

pathological speech, speech, cancer, oral cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Cancer Research