Useful Links
Computer Science
Artificial Intelligence
Deep Learning
Deepfakes and Fake News Detection
1. Introduction to Digital Disinformation
2. Foundations of Machine Learning for Media Analysis
3. Core Technologies for Synthetic Media Generation
4. Fake News Detection: Text-Based Analysis
5. Deepfake Detection: Image and Video Analysis
6. Deepfake Detection: Audio Analysis
7. The Adversarial Arms Race
8. Datasets, Evaluation, and Benchmarking
9. Societal, Ethical, and Legal Dimensions
10. Future Trends and Research Frontiers
Deepfake Detection: Audio Analysis
Characteristics of Synthetic Speech
Prosodic Anomalies
Unnatural Rhythm Patterns
Stress and Intonation Irregularities
Speaking Rate Inconsistencies
Emotional Expression Limitations
Acoustic Environment Analysis
Background Noise Patterns
Reverberation Characteristics
Environmental Consistency
Recording Quality Assessment
Spectral Analysis
Frequency Domain Artifacts
Harmonic Structure Analysis
Formant Pattern Recognition
Spectral Envelope Characteristics
Audio Signal Processing Foundations
Time-Domain Analysis
Waveform Characteristics
Amplitude Patterns
Zero-Crossing Rates
Energy Distribution
Frequency-Domain Analysis
Fourier Transform Applications
Spectral Density Estimation
Frequency Response Analysis
Phase Relationship Examination
Feature Extraction Techniques
Mel-Frequency Cepstral Coefficients
Mel-Scale Transformation
Cepstral Analysis
Delta and Delta-Delta Features
Normalization Techniques
Linear Predictive Coding
Vocal Tract Modeling
Prediction Error Analysis
Reflection Coefficients
Pitch and Fundamental Frequency
F0 Estimation Methods
Pitch Contour Analysis
Voicing Detection
Jitter and Shimmer Metrics
Formant Analysis
Formant Frequency Extraction
Bandwidth Characteristics
Formant Tracking
Speaker Identification Features
Machine Learning for Audio Detection
Traditional Machine Learning Approaches
Support Vector Machines
Random Forest Classifiers
Gaussian Mixture Models
Hidden Markov Models
Deep Learning Methods
CNNs for Spectrogram Analysis
2D Convolution Applications
Time-Frequency Feature Learning
Multi-Resolution Analysis
Attention Mechanisms
RNNs for Sequential Processing
LSTM for Long-Term Dependencies
GRU for Computational Efficiency
Bidirectional Processing
Sequence-to-Sequence Models
Transformer Models for Audio
Self-Attention in Audio Processing
Positional Encoding for Time Series
Multi-Head Attention Applications
Pre-trained Audio Models
Hybrid and Ensemble Approaches
Multi-Modal Feature Fusion
Model Combination Strategies
Confidence Score Integration
Robustness Enhancement Techniques
Advanced Audio Analysis Techniques
Voice Biometric Analysis
Speaker Verification Methods
Voice Print Characteristics
Individual Speech Patterns
Spoofing Detection
Linguistic Content Analysis
Phoneme-Level Analysis
Word-Level Patterns
Sentence Structure Consistency
Language Model Integration
Cross-Modal Consistency
Audio-Visual Synchronization
Lip-Sync Verification
Gesture-Speech Alignment
Multi-Modal Fusion
Previous
5. Deepfake Detection: Image and Video Analysis
Go to top
Next
7. The Adversarial Arms Race