Comparison of ER, F1 score and computational complexity of different SED algorithms.
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posted on 2024-03-28, 17:57 authored by Sania Gul, Muhammad Salman Khan, Ata Ur-RehmanComparison of ER, F1 score and computational complexity of different SED algorithms.
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support vector machineerror rate comparabledeep neural networkscalled &# 8216600 times lesserwavelet multiresolution analysisdeep learning modelsmedoids clustering algorithmconvolutional neural networkinput audio clipchunks &# 8217baseline systems usedwavelet scattering networkrare events occurringsed systems basedproposed system suitablednns ), cnnmodels basedrare eventsproposed algorithmwavelet denoisingwavelet approachcrnn ),rare eventfinding algorithmxlink ">two levelstime applicationsterm memorysmall portionssingle epochsignificant transitionssecond durationprevious framesopen environmentmay representlong shortlearnable parameterfive levelsfifth levelscomputationally efficientcnn respectivelycharacteristics makeanomaly detection30 seconds
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