Automatic Speech-Based Smoking Status Identification

Keyphrases

• Smoking Status 100%
• Speech-based 100%
• Status Identification 100%
• Automatic Speech 100%
• Acoustic Features 71%
• Jitter 28%
• Filter Bank 28%
• Mel Frequency Cepstral Coefficients 28%
• Fundamental Frequency 14%
• Neural Network Method 14%
• U-Net 14%
• Data Augmentation 14%
• Classification Approach 14%
• Deep Neural Network 14%
• Smoking Cessation 14%
• Identification Accuracy 14%
• Rule-based Approach 14%
• Relative Improvement 14%
• Audio Classification 14%
• Classification Rules 14%
• Speaker Profiling 14%
• Smoking Status Validation 14%

Computer Science

• Acoustic Feature 100%
• Mel Frequency Cepstral Coefficient 40%
• Filter Bank 40%
• Residual Neural Network 20%
• Neural Network Approach 20%
• Fundamental Frequency 20%
• Data Augmentation 20%
• classification approach 20%
• Deep Neural Network 20%
• Classification Rule 20%
• Audio Classification 20%