Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures.
第一作者:
Giovanni,Costantini
第一单位:
Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy.
作者:
关键词
1E, Vowel /e/ vocal task2S, Sentence vocal task3C, Cough vocal taskAdaboostCFS, Correlation-based Feature SelectionCNN, Convolutional Neural NetworkCOVID-19ClassificationDL, Deep LearningDeep learningH, Healthy control subjectsMFCC, Mel-frequency Cepstral CoefficientsML, Machine LearningNS, Nasal SwabP, Positive subjectsPCR, Polymerase Chain Reaction-based molecular swabsPvsH, Positive versus Healthy subjects comparisonR, Recovered subjectsRF, Random ForestROC, Receiver-Operating CurveReLu, Rectified Linear UnitRvsH, Recovered versus Healthy subjects comparisonSVM, Support Vector MachineSpeech processing
DOI
10.1016/j.knosys.2022.109539
PMID
35915642
发布时间
2022-12-21
- 浏览0
Knowledge-based systems
2022年253卷
109539页
相似文献
- 中文期刊
- 外文期刊
- 学位论文
- 会议论文


换一批



