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.
Automatic detection of Voice Disorders: recent literature advancements
Sigona Francesco
2020-01-01
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 investigation of new features and the capability to process running speech other than sustained sounds.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
