Deep Learning - one shot learning for speaker recognition using Filter Banks
-
Updated
Jun 23, 2024 - Jupyter Notebook
Deep Learning - one shot learning for speaker recognition using Filter Banks
Voice biometric authentication PAM module for Linux
Voice authentication system implementation using Python
Create speaker voiceprints from a few seconds of audio. And, identify individuals in real-time streaming or recorded conversations.
IDVoice + ChatGPT iOS demo app
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.
IDVoice + ChatGPT Android demo app
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.
Add a description, image, and links to the voice-authentication topic page so that developers can more easily learn about it.
To associate your repository with the voice-authentication topic, visit your repo's landing page and select "manage topics."