Litcius/Paper detail

A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds

Norah Saleh Alghamdi, Mohammed Zakariah, Hanen Karamti

2024Multimedia Tools and Applications30 citationsDOI

Topics & Concepts

Computer scienceMel-frequency cepstrumConvolutional neural networkArtificial intelligenceDeep learningRespiratory soundsIdentification (biology)Speech recognitionMachine learningCepstrumArtificial neural networkPattern recognition (psychology)Feature extractionMedicineBotanyAsthmaBiologyInternal medicinePhonocardiography and Auscultation TechniquesRespiratory and Cough-Related ResearchNoise Effects and Management
A deep CNN-based acoustic model for the identification of lung diseases utilizing extracted MFCC features from respiratory sounds | Litcius