Lightweight Skip Connections With Efficient Feature Stacking for Respiratory Sound Classification

As the number of deaths from respiratory diseases due to COVID-19 and infectious diseases increases, early diagnosis is necessary. In general, the diagnosis of diseases is based on imaging devices (e.g., computed tomography and magnetic resonance imaging) as well as the patient’s underlyi...

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出版年:	IEEE Access
主要な著者:	Youngjin Choi, Hoeryeon Choi, Hwayoung Lee, Sookyoung Lee, Hongchul Lee
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2022-01-01
主題:	Densely BiGRU connection lightweight convolutional neural network log-mel spectrogram-mel frequency cepstral coefficients pass filter feature stacking respiratory sound
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9773104/