Litcius/Paper detail

CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals

Gaffari Çelik

2023Computers in Biology and Medicine33 citationsDOIOpen Access PDF

Topics & Concepts

Feature extractionComputer sciencePattern recognition (psychology)Mel-frequency cepstrumConvolutional neural networkArtificial intelligenceMean squared errorFeature (linguistics)Speech recognitionCentroidArtificial neural networkDeep learningMathematicsStatisticsPhilosophyLinguisticsCOVID-19 diagnosis using AIPhonocardiography and Auscultation TechniquesPneumonia and Respiratory Infections
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals | Litcius