Low-power SVM classifiers for sound event classification on mobile devices

Keyphrases

• Mobile Devices 100%
• Low Power 100%
• Power Consumption 100%
• SVM Classifier 100%
• Sound Event Classification 100%
• Power SVM 100%
• Sound Events 66%
• Smartphone 66%
• Intrinsic Complexity 66%
• Monitoring System 33%
• Classification Accuracy 33%
• Classification System 33%
• Detection Accuracy 33%
• CPU Utilization 33%
• Phone Calls 33%
• Acoustic Features 33%
• Support Vector 33%
• Scream 33%
• Surveillance System 33%
• Scoring Function 33%
• Segmentation Feature Extraction 33%
• Personal Audio 33%
• SVM Kernels 33%
• Audio Monitoring 33%
• Audio Surveillance 33%
• Matrix-vector multiplication 33%
• Battery Life 33%
• Processing Power 33%

Computer Science

• Support Vector Machine 100%
• Mobile Device 100%
• Power Consumption 60%
• Detection Accuracy 20%
• Support Vector 20%
• Resulting Complexity 20%
• Vector Multiplication 20%
• Scoring Function 20%
• Monitoring System 20%
• Acoustic Feature 20%
• Classification Accuracy 20%
• Processing Power 20%
• Feature Extraction 20%

Engineering

• Electric Power Utilization 100%
• Feature Extraction 33%
• Processing Power 33%
• Classification Accuracy 33%
• Acoustic Feature 33%
• Battery Life 33%
• Monitoring System 33%
• Phone Call 33%
• Mobile Phones 33%
• Support Vector Machine 33%