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Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features

Salim Lahmiri, Chakib Tadj, Christian Gargour, Stelios Bekiros

2022Chaos Solitons & Fractals36 citationsDOI

Topics & Concepts

Support vector machineMel-frequency cepstrumArtificial intelligenceComputer sciencePattern recognition (psychology)Sensitivity (control systems)Context (archaeology)Cross-validationNaive Bayes classifierSpeech recognitionMachine learningBayesian probabilitySIGNAL (programming language)ProsodyFeature extractionEngineeringBiologyElectronic engineeringProgramming languagePaleontologyInfant Health and DevelopmentPhonocardiography and Auscultation TechniquesSpeech and Audio Processing
Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features | Litcius