This repository contains a mini project focused on fake voice detection using machine learning and deep learning. It employs Python, CNN, and Librosa to analyze audio signals and classify them as real or fake. The project aims to identify artificially generated or manipulated voice recordings to prevent fraud and misinformation.
From the README
Fake Voice Detection Using Machine Learning and Deep Learning 📌 Introduction Fake voice detection is the process of identifying whether an audio sample is a real human voice or an artificially generated or manipulated one (audio deepfake). With the rise of AI-based voice cloning technologies, detecting fake voices has become essential to prevent fraud, impersonation, and misinformation. This project uses Machine Learning and Deep Learning techniques to analyze audio signals and classify them as real or fake. 🎯 Project Objectives To detect fake or AI-generated voice recordings To extract meaningful audio features from speech signals To build and compare Machine Learning and Deep...
Skills
- Python
