Train a model for synthetic audio detection

This blueprint guides you through training and using a machine learning model that effectively detects synthetic and modified audio content. The primary objective of this model is to provide a lightweight alternative to deep learning approaches, allowing for easier training and deployment while delivering superior detection results. This approach makes audio forgery detection more accessible for applications with limited computational resources. It includes an example for detecting synthetic speech data.