In an era where artificial intelligence can generate hyper-realistic audio deepfakes, distinguishing between genuine and synthetic voices has become a critical challenge. From misinformation campaigns to identity fraud, the stakes are high. Fortunately, advancements in machine learning and audio signal processing offer powerful tools to combat this threat. In this blog post, we explore a…
With deepfake technology advancing rapidly, rigorous testing of detection models is essential to counter its growing threat to authenticity in media. On March 15, 2025, we conducted performance tests using an updated XGBoost model, focusing on two specific deepfake examples to assess its accuracy and speed in real-world scenarios. These tests, designed as practical demonstrations,…