A Novel Stacked Model for Classification of Vocal Cord Paralysis Over Imbalanced Vocal Data

Over time, many classification systems have been developed for voice-related disorders using machine learning methods and limited usage of deep learning techniques. These systems were evaluated across accuracy, F1-score, precision, and recall using the Mel-Frequency Cepstral Coefficient (MFCC), time...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	K. Jayashree Hegde, K. Manjula Shenoy, K. Devaraja
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Deep learning healthcare imbalanced data spectrograms stacked generalization transfer learning
Online Access:	https://ieeexplore.ieee.org/document/10824769/