Voice Authentication Biometrics System: Advancing Security with Cutting-Edge Technology

We led the development of an innovative biometrics system that utilizes voice authentication to enhance security in automobile access. This project represents a significant milestone in user validation, ensuring that only authorized individuals can gain vehicle access.

Demo

The Comprehensive Approach

Model Research and Optimization: Extensive research was undertaken to explore diverse model architectures, each meticulously optimized to ensure fast inference on edge devices. This strategic approach not only facilitates real-time processing but also conserves computational resources, making it ideal for embedded systems.

Noise Cleaning and Speech Enhancement: Recognizing the nuances of real-world audio data, I implemented robust noise-cleaning and speech enhancement techniques. This preprocessing step enhances the accuracy and reliability of voice authentication, particularly in challenging acoustic environments.

DNN-Based Classification: A deep neural network (DNN) was employed for precise user classification. The model's ability to discern the unique vocal characteristics of authorized users ensures that only legitimate individuals are granted access.

Quantization for Efficiency: To further optimize the system's efficiency, quantization techniques were applied to the DNN, reducing its computational demands while maintaining performance integrity. This pivotal step enhances the system's suitability for edge devices.

Edge Device Deployment: The culmination of this endeavor involved deploying the refined voice authentication system on edge devices. This strategic implementation ensures seamless integration within automobiles, providing a secure and frictionless access control solution.

This innovative biometrics system not only enhances automobile security but also redefines user validation through the medium of voice. By skillfully combining Python, TensorFlow Lite (TfLite), ONNX, and PyTorch, this project signifies a leap forward in access control technology, setting new standards for secure and user-friendly authentication methods in the automotive industry.