skanderhamdi/attention_cnn_lstm_covid_mel_spectrogram
Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound
This project helps medical researchers and diagnosticians develop and test automated systems for detecting COVID-19. It takes recordings of cough sounds and uses advanced signal processing to analyze them, outputting a diagnosis. The primary users are researchers working on respiratory health diagnostics.
No commits in the last 6 months.
Use this if you are a researcher or medical professional looking to explore or build automated systems for COVID-19 diagnosis using cough sound analysis.
Not ideal if you need a ready-to-use diagnostic tool for patient care, as this project is for research and development, not a deployed solution.
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Python
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Last pushed
Aug 31, 2022
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