1 INTRODUCTION

2 OVERVIEW
2.1 Types of Deepfake Audio
2.2 Competitions
2.3 Benchmark Datasets
2.4 Evaluation Metrics

3 DISCRIMINATIVE FEATURES
3.1 Short-term Spectral Features
3.2 Long-term Spectral Features
3.3 Prosodic Features
3.4 Deep Features

4 CLASSIFICATION ALGORITHMS
4.1 Traditional Classification
4.2 Deep Learning Classification

5 END-TO-END MODELS

6 GENERALIZATION METHODS
6.1 Loss Function
6.2 Continual Learning

7 PERFORMANCE COMPARISONS
7.1 Top-performing methods in typical competitions
7.2 Evaluation of Features
7.3 Evaluation of Classifiers
7.4 End-to-End Models

8 FUTURE DIRECTIONS

9 CONCLUSIONS