Sound Event Recognition Using Auditory-Receptive-Field Binary Pattern and Hierarchical-Diving Deep Belief Network

Keyphrases

• Sound Event Recognition 100%
• Binary Pattern 100%
• Deep Belief Network 100%
• Diving 100%
• Auditory Receptive Fields 100%
• Recognition Rate 40%
• Neural Network System 20%
• Sound Data 20%
• Everyday Life 20%
• Feature Extraction Methods 20%
• Audio 20%
• Sound Event Detection 20%
• System Development 20%
• Error Rate 20%
• Event Recognition System 20%
• Human Auditory System 20%
• Classification Methods 20%
• Signal-to-noise Ratio 20%
• Feature Classification 20%
• Sound Events 20%
• Deep Neural Network 20%
• Real Environment 20%
• Feature Representation 20%
• Residential Area 20%
• Noisy Conditions 20%
• Cepstral Features 20%
• Novel Feature Extraction 20%
• Event Classification 20%
• Physical Features 20%
• Home Area 20%
• Spectrogram Image Feature 20%
• Receptive Field Model 20%
• Event Dataset 20%
• Visual Descriptors 20%

Engineering

• Deep Belief Network 100%
• Receptive Field 100%
• Recognition Rate 66%
• Experimental Result 33%
• Spectrogram 33%
• Signal-to-Noise Ratio 33%
• Feature Extraction 33%
• Neural Network System 33%
• Classification Method 33%
• Error Rate 33%
• Extracted Feature 33%
• Field Model 33%
• Event Detection 33%
• Everyday Life 33%
• Deep Neural Network 33%
• Isolation Method 33%

Computer Science

• Receptive Field 100%
• Recognition Rate 66%
• Experimental Result 33%
• Recognition System 33%
• Extracted Feature 33%
• image feature 33%
• Classification Method 33%
• Noise-to-Signal Ratio 33%
• Deep Neural Network 33%
• Event Detection 33%
• cepstral 33%
• Residential Area 33%
• Abstract Concept 33%
• Noisy Condition 33%
• Renewed Interest 33%
• Feature Extraction 33%