Supervised contrastive pretrained ResNet with MixUp to enhance respiratory sound classification on imbalanced and limited dataset

Supervised contrastive pretrained ResNet with MixUp to enhance respiratory sound classification on imbalanced and limited dataset

This paper proposes a strategy of combining multiple techniques to classify paediatric respiratory sound (PRS) from the Open-Source SJTU Paediatric Respiratory Sound Database. Inspired by recent successes in image classification, this work focuses on improving audio classification with limited and i...

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Bibliographic Details
Main Authors: Hu, Jinhai, Leow, Cong Sheng, Tao, Shuailin, Goh, Wang Ling, Gao, Yuan
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Engineering
Supervised contrastive learning
Respiratory sound classification
MixUp finetuning
Online Access:https://hdl.handle.net/10356/179114
https://ieeexplore.ieee.org/abstract/document/10389029

Internet

https://hdl.handle.net/10356/179114
https://ieeexplore.ieee.org/abstract/document/10389029

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