An Artificial Intelligence-Based Algorithm for the Assessment of Substitution Voicing

An Artificial Intelligence-Based Algorithm for the Assessment of Substitution Voicing

The purpose of this research was to develop an artificial intelligence-based method for evaluating substitution voicing (SV) and speech following laryngeal oncosurgery. Convolutional neural networks were used to analyze spoken audio sources. A Mel-frequency spectrogram was employed as input to the d...

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Bibliographic Details
Main Authors: Virgilijus Uloza, Rytis Maskeliunas, Kipras Pribuisis, Saulius Vaitkus, Audrius Kulikajevas, Robertas Damasevicius
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
convolutional neural networks
deep learning
laryngeal carcinoma
substitution voicing
ASVI
Online Access:https://www.mdpi.com/2076-3417/12/19/9748

Internet

https://www.mdpi.com/2076-3417/12/19/9748

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