AFEN: Respiratory Disease Classification using Ensemble Learning

arXiv:2405.05467v1 Announce Type: cross
Abstract: We present AFEN (Audio Feature Ensemble Learning), a model that leverages Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to perform state-of-the-art audio classification for a range of respiratory diseases. We use a meticulously selected mix of audio features which provide the salient attributes of the data and allow for accurate classification. The extracted features are then used as an input to two separate model classifiers 1) a multi-feature CNN classifier and …

abstract art arxiv audio classification cnn convolutional convolutional neural networks cs.ai cs.lg cs.sd disease diseases eess.as ensemble fashion feature features networks neural networks state type xgboost