Automatic detection of Voice Disorders: recent literature advancements


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 investigation of new features and the capability to process running speech other than sustained sounds.

DOI Code: 10.1285/i25327518v4i2p21

Keywords: voice disorders; machine learning; detection; classification

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