Deep Learning - one shot learning for speaker recognition using Filter Banks
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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.
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 iOS demo app
Ensemble speaker verification achieving 97% accuracy - Intelligent fusion of MFCC+DTW (92%) and Resemblyzer CNN (94%) for voice authentication
A secure GUI-based voice authentication system for Windows startup, built in Python with MFCC + DTW.
Voice-First AI Personal Finance Assistant with Voice Authentication built using FastAPI, Whisper and React.
IDVoice + ChatGPT Android demo app
Voice Truthgate™ - 1st Honest, on-device voice-deepfake detection by mosADD™
This project implements an AI-powered Voice Word Lock system that authenticates users using a fixed spoken passphrase combined with speaker verification and voice biometrics. The system captures voice input, extracts biometric features, and verifies the speaker’s identity using machine learning models. Access is granted only when both the spoken
A web-based voice authentication system that unlocks a login interface using speech recognition, featuring multi-language support, voice feedback, and a responsive UI.
Lightweight Siamese speaker verification with mel-spectrogram embeddings.
Privacy-safe multi-modal authentication (Face + Voice) with optional offline STT.
Always-on desktop subscription manager with due-date pings and simulated voice + face MFA payment approvals.
A voice-first auth + command library for AI-native wearables — smart glasses, earbuds, rings.
AI-powered attendance management system using Face Recognition, Voice Authentication, QR Enrollment, and Attendance Analytics.
AI-powered attendance system using Face Recognition (dlib + SVM) and Voice Authentication (Resemblyzer). Built with Streamlit and Supabase.
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