RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model

RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model

Recent studies have reported the success of multi-scale convolution neural network (MSConvNet) model for many classification applications due to its powerful ability of exploring multi-scale convolution block to extract multi-scale representations to make a detection. However, a new design based on...

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Bibliographic Details
Main Authors: Wongsathon Pathonsuwan, Khomdet Phapatanaburi, Prawit Buayai, Talit Jumphoo, Patikorn Anchuen, Monthippa Uthansakul, Peerapong Uthansakul
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Pathological voice detection
end-to-end architecture
multi-scale convolution
spatial-temporal feature
hybrid model
Online Access:https://ieeexplore.ieee.org/document/9938443/

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