Bird sounds classification by combining PNCC and robust Mel-log filter bank features

Keyphrases

• Bird Sound Classification 100%
• Bird Species 25%
• Classification Accuracy 25%
• Clean Environment 25%
• Convolutional Neural Network 50%
• EBird 25%
• Feature Combination 100%
• Filter Bank 100%
• LoG Filter 100%
• Log-mel 50%
• Mel Filter Bank 50%
• Natural Environment 25%
• Neural Network Structure 50%
• Noise Background 25%
• Noise Type 25%
• Noisy Environment 75%
• Power Normalized Cepstral Coefficient 100%
• Ratio Level 25%
• Schoolyard 25%
• Signal-to-noise Ratio 50%
• Wiener Filter 50%

Engineering

• Classification Accuracy 33%
• Convolutional Neural Network 66%
• Filter Banks 100%
• Noisy Environment 100%
• Signal-to-Noise Ratio 66%