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

• Main Authors: Hu, Jinhai, Leow, Cong Sheng, Tao, Shuailin, Goh, Wang Ling, Gao, Yuan
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2024
• 主題: Engineering; Supervised contrastive learning; Respiratory sound classification; MixUp finetuning
• 在線閱讀: https://hdl.handle.net/10356/179114; https://ieeexplore.ieee.org/abstract/document/10389029
• 機構: Nanyang Technological University

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...