Dataset for acoustic features extracted from healthy, nodules, polyps and Reinke's edema effected voices for noise multicondition training.

Published: 16 December 2021| Version 1 | DOI: 10.17632/dwrwvyhxkt.1
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Description

The dataset contains acoustic features extracted for nodules, polyps, Reinke's edema patients, and healthy subjects. All the information on data collection and dataset building is presented in the following paper. This paper should be cited in case of any scientific research publication is produced using this dataset: Multicondition training for noise-robust detection of benign vocal fold lesions from recorded speech, Mario Madruga, Yolanda Campos-Roca, Carlos J. Pérez, IEEE Access, Volume 9, Pages 1707 - 1722, 2021. https://ieeexplore.ieee.org/abstract/document/9305285 DOI:10.1109/ACCESS.2020.3046873 All the data is included in the .csv file. A brief description of atributes is found in the .doc file. This research was supported by project MTM2017-86875-C3-2-R (Ministerio de Ciencia, Innovación y Universidades), projects IB16054, GR18108 and GR18055 (Junta de Extremadura/European Regional Development Funds, EU), and FPU18/03274 grant (Ministerio de Ciencia, Innovación y Universidades).

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Steps to reproduce

All the information on data collection and dataset building is presented in the following paper. This paper should be cited in case of any scientific research publication is produced using this dataset: Multicondition training for noise-robust detection of benign vocal fold lesions from recorded speech, Mario Madruga, Yolanda Campos-Roca, Carlos J. Pérez, IEEE Access, Volume 9, Pages 1707 - 1722, 2021. https://ieeexplore.ieee.org/abstract/document/9305285 DOI:10.1109/ACCESS.2020.3046873

Institutions

Universidad de Extremadura

Categories

Biomedical Engineering, Machine Learning, Voice Disorder, Human Voice

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