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Article

Automatic detection of Voice Disorders: recent literature advancements

Department of Humanities & CRIL-DReAM, University of Salento, Italy
J. Interdiscip. Res. Appl. Med. 2020, 4(2), 21-30; https://doi.org/10.1285/i25327518v4i2p21
Published: 31 December 2020

Abstract

A short review of some recent findings in the field of automatic voice disorders detection and classification is provided in this article. The matter is getting more and more interest due to appealing non-invasiveness of the methods as well as the good achievable performances. An increasing role is played by Artificial Neural Networks (ANN), especially Deep ones, despite the need for large amounts of data for such networks, that are not always available for the task in question. The research in this field is directed in other directions too, including the inves-tigation of new features and the capability to process running speech other than sustained sounds.
Keywords: voice disorders; machine learning; detection; classification voice disorders; machine learning; detection; classification

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MDPI and ACS Style

Sigona, F. Automatic detection of Voice Disorders: recent literature advancements. J. Interdiscip. Res. Appl. Med. 2020, 4, 21-30. https://doi.org/10.1285/i25327518v4i2p21

AMA Style

Sigona F. Automatic detection of Voice Disorders: recent literature advancements. Journal of Interdisciplinary Research Applied to Medicine. 2020; 4(2):21-30. https://doi.org/10.1285/i25327518v4i2p21

Chicago/Turabian Style

Sigona, Francesco. 2020. "Automatic detection of Voice Disorders: recent literature advancements" Journal of Interdisciplinary Research Applied to Medicine 4, no. 2: 21-30. https://doi.org/10.1285/i25327518v4i2p21

APA Style

Sigona, F. (2020). Automatic detection of Voice Disorders: recent literature advancements. Journal of Interdisciplinary Research Applied to Medicine, 4(2), 21-30. https://doi.org/10.1285/i25327518v4i2p21

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