Voice biometric authentication PAM module for Linux
Voice authentication system implementation using Python
A voice authentication system leveraging Deep4SNet for DeepFake detection and GMM UBM for speaker verification. It provides a robust solution for securing voice-based authentication applications.
A secure GUI-based voice authentication system for Windows startup, built in Python with MFCC + DTW.
Speaker recognition using Gaussian Mixture Models (GMM) involves identifying speakers by modeling their voice features with statistical distributions. GMMs are trained on speech data to distinguish between different speakers based on their unique vocal characteristics. This technique is commonly used in voice biometrics and authentication systems.
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