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

• المؤلفون الرئيسيون: Hu, Jinhai, Leow, Cong Sheng, Tao, Shuailin, Goh, Wang Ling, Gao, Yuan
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Supervised contrastive learning; Respiratory sound classification; MixUp finetuning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/179114; https://ieeexplore.ieee.org/abstract/document/10389029

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...