• Corpus ID: 245837587

An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies

@article{Pham2022AnEO,
  title={An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies},
  author={Lam Dang Pham and Dat Thanh Ngo and Truong Hoang and Alexander Schindler and Ian Mcloughlin},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.03054}
}
In this paper, we evaluate various deep learning frameworks for detecting respiratory anomalies from input audio recordings. To this end, we firstly transform audio respiratory cycles collected from patients into spectrograms where both temporal and spectral features are presented, referred to as the front-end feature extraction. We then feed the spectrograms into back-end deep learning networks for classifying these respiratory cycles into certain categories. Finally, results from high… 

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