Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions From Recorded Speech

Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions From Recorded Speech

This study evaluates the effects of Multicondition Training (MCT) on computer aided diagnosis systems for voice quality assessment associated to exudative lesions of Reinke's space. This technique adds various noise conditions to the speech recordings in order to recreate realistic acoustic env...

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Bibliographic Details
Main Authors: Mario Madruga, Yolanda Campos-Roca, Carlos J. Perez
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Acoustic features
computer aided diagnosis (CAD)
machine learning
multicondition training (MCT)
nodules
polyps
Online Access:https://ieeexplore.ieee.org/document/9305285/

Internet

https://ieeexplore.ieee.org/document/9305285/

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