An Intelligent Framework for Detecting Deepfake Audio Using Deep Learning

Key Points

• The central aim is to evaluate a framework that utilizes deep learning for detecting deepfake audio content.
• Developed a deep learning-based framework for audio detection.
• Implemented various algorithms for identifying deepfake audio.
• Conducted tests to measure the effectiveness of the detection framework.
• Achieved a significant improvement in detection accuracy compared to traditional methods.
• Demonstrated the framework's capability to reduce false positives in deepfake audio detection.