Dataset for acoustic features extracted from healthy, nodules and Reinke's edema affected voices

Published: 16 December 2021| Version 1 | DOI: 10.17632/t6hs9krksf.1
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Description

The dataset contains acoustic features extracted for Nodules and 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: Mario Madruga, Yolanda Campos-Roca, Carlos J. Pérez, Impact of noise on the performance of automatic systems for vocal fold lesions detection, Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021, Pages 1039-1056, ISSN 0208-5216, https://doi.org/10.1016/j.bbe.2021.07.001 All the data is included in the .csv file. A brief description of atributes is found in the .doc file. This research has been 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: Mario Madruga, Yolanda Campos-Roca, Carlos J. Pérez, Impact of noise on the performance of automatic systems for vocal fold lesions detection, Biocybernetics and Biomedical Engineering, Volume 41, Issue 3, 2021, Pages 1039-1056, ISSN 0208-5216, https://doi.org/10.1016/j.bbe.2021.07.001

Institutions

Universidad de Extremadura

Categories

Biomedical Engineering, Machine Learning, Voice Disorder, Human Voice

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